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Assessing the sustainable development of agriculture is a hot topic in global agricultural research and an important task of rural revitalization and agricultural upgrading in the new era. Reform and opening up promote the rapid development of the agricultural economy, but the conflict between agricultural development and agricultural resources and ecological environment is serious. Since the 18th National Congress of the CPC, the sustainable development of agriculture has been given more prominence. It is of great significance to study the evaluation of agricultural sustainable development. Firstly, this paper studies the relevant literature on agricultural sustainable development evaluation at home and abroad. Based on wavelet transform, support vector machine(SVM), genetic algorithm (GA)and ant colony optimization(ACO) algorithm, a combination evaluation method of wavelet and intelligent optimization support vector machine is proposed. Secondly, by referring to the existing evaluation index system and combining with the actual situation of China's agricultural development, the alternative index set of agricultural sustainable development evaluation is established. Using SPSS software, the significance and correlation of 150 primary indexes are analyzed, and an evaluation index system including 62 indexes is established. Thirdly, using one-dimensional discrete stationary wavelet analysis, data denoising processing, genetic algorithm, ant colony algorithm, optimize the parameters of support vector machine, get better penalty parameters, kernel function, insensitivity coefficient, and then train the support vector machine. Fourth, taking 31 provinces (municipalities) in China as an example, this paper evaluates the agricultural sustainable development by applying the wavelet-GASVM model and the wavelet-ACOSVM model, and using the GA-SVM model and the ACO-SVM model to evaluate the agricultural sustainable development of 31 provinces (municipalities) in China. Fifthly, the reliability of the wavelet intelligent optimization SVM method is verified by changing the number of test sets and conducting multiple tests. The evaluation and simulation results show that: 1) The mean square error of agricultural sustainable development evaluation of Wavelte-GASVM is 9.641×10-5, and the correlation coefficient is 0.980; however, under the same training set and test set, the mean square error and correlation coefficient obtained by GASVM are 0.006 and 0.979, respectively. 2)The mean square error of Wavelet-ACOSVM agricultural sustainable development evaluation was 9.318×10-5, and the correlation coefficient was 0.972; the mean square error MSE and correlation coefficient of ACO-SVM are 0.016 and 0.953, respectively, under the same training set and test set. 3) Change the number of test sets and perform several tests and compare the results of GASVM model and ACO-SVM model before and after wavelet denoising respectively. It can be seen that under the GASVM model, the mean square error of the running results after wavelet denoising is smaller than that before wavelet denoising, and the correlation coefficient is larger than that before wavelet denoising, and the running time is shorter. Under the ACOSVM model, the mean square error of the running result after wavelet denoising is also smaller than that before wavelet denoising, and the correlation coefficient is larger than that before wavelet denoising, and the running time is shorter. Conclusion: The prediction accuracy and convergence speed of agricultural sustainable development evaluation by wavelet-GASVM and wavelet-ACOSVM are better than GA-SVM and ACO-SVM, respectively, and the effect of agricultural sustainable development evaluation by wavelet-GASVM is more ideal. This study provides a method reference for agricultural sustainable development assessment. [ABSTRACT FROM AUTHOR]

It is needed to solve the problems such as relatively low input-output ratio and environmental pollution for Chinese agriculture, with the large amount of agricultural production and consumption. In the background of changing international situation and frequent natural disasters, transforming traditional agricultural production methods in China is an urgent. Driven by emerging technologies such as artificial intelligence, internet of things, cloud platform, automatic control, and new generation communication and so on, precision agriculture came out and was undoubtedly an effective way. Precision agriculture has become a common choice for developing sustainable and high-yield agriculture around the world. In order to obtain the development orientation of precision agriculture and successful practices in the world, this paper reviews the studies on precision agriculture developing status. The aim of this paper is to refine the experiences of precision agriculture developing in the main developed countries and regions and take a look at the precision agriculture development in China. Adopting the method of systematic literature analyzing and summary, Section 1 studies the development status of precision agriculture in the main developed countries and regions, such as America, Japan, European Union and Israel. The idea of precision agriculture was first proposed in America. Until today, America has developed mature precision agriculture system, which benefits from the highly developed technologies. Considering the serious contradiction between large population and less farmland, during 1970s, Japan took measures of consolidating farmland on a large scale and building farmland infrastructure and so on to improve the agricultural production conditions. The agricultural community was also formed to operate collaboratively the agricultural production. The development of precision agriculture in European Union is driving by digital technologies. The water-saving agriculture represented by drip-irrigation and sprinkler-irrigation has made remarkable results in Israel. The development experiences of precision agriculture in the main developed countries and regions enlighten us that: 1) the leading by government is the key; 2) the informatization construction is the foundation; 3) the advanced technology is the core; 4) the cultivation of new type of farmers is the guarantee. Section 2 analyzed the basements and weaknesses for developing precision agriculture in China. The weaknesses are the emphasis in this section. First, the farmland in China is scattered and the infrastructure is not perfect. Taking the informatization perspective, even though number of agriculture related information systems exist, the data and information are not interoperable between these systems. Second, at the present stage, we cannot acquire the temporal and spatial continuous agricultural information due to the rarity domestic satellite data and ground sensors for agriculture monitoring. Third, automatic variable operating system and equipment are lacking since the technology integration of information technology, communication and agricultural machine has not been achieved. Fourth, insufficient high-quality agricultural talents. Facing these weakness and Chinese conditions, Section 3 provided five suggestions to develop precision agriculture in China. Firstly, our government should overall plan and give guarantee in police making, infrastructure construction and financial support, etc. Secondly, we should improve the agricultural production condition through expanding moderately the operating scale of farmland and constructing the field infrastructure net and the national agricultural information platform. Thirdly, the key technology research, such as the information retrieval using remote sensing and technology integration of communication, automatic controlling, spatial information and smart machinery must be focused. Fourthly, the new type of personnel in agricultural field can be cultivated. Fifthly, pilot demonstration can be carried out according to the regional difference. [ABSTRACT FROM AUTHOR]

Unmanned Aerial Vehicles (UAV) have widely been served as a new technology in agricultural aviation plant protection and pest control in China. However, it is highly demanded to improve the accuracy of UAV spraying pesticides and operational efficiency. In this study, a Variable Rate Application (VRA) of a centrifugal spraying system was designed for precise placement and timing of pesticide application in specific field conditions using the network Real-Time Kinematic (RTK) technology. STM32F103 single-chip microcomputer was used for the core controller. A serial port of controller was selected to obtain the global position system (GPS) information. A network modular Data Terminal Unit (DTU) was connected to realize the network RTK technology via the serial port of the controller. The control voltage was used to tailor the speeds of the centrifugal nozzle motor and peristaltic pump. A Pulse Width Modulation (PWM) was used to control the output voltage from the core controller to the armature of motors in this system. The speed of the centrifugal nozzle motor determined the output droplet size, while the speed of peristaltic pump determined the flow rate and amount of spray fog. The agricultural dataset before the system working was acquired using the airborne multispectral camera, ground object spectrometer, and handheld GPS. A prescription chart was also constructed using ArcGIS software. In the system working, the GPS modular was used to capture the location longitude and latitude data for the system to read and analyze. The system was always real-time searching the UAV geographical position during the spraying pesticides process using the GPS data, and then matching the position using the orthogonal grid. Meanwhile, the system was used to real-time tailor the changes in the duty cycle of output PWM, after matching the decision of the prescription map. The speeds of the centrifugal nozzle motor and the peristaltic pump were then to control the particle size and application amount of the UAV. The operation data was finally uploaded to the monitoring platform for real-time display and storage. Several spraying experiments were carried out in the research base of South China Agricultural University in Zengcheng City, Guangdong Province of China. The airborne spraying device was carried on the MG-1p plant protection UAV using a developed DJI Drone. The sampling points of droplets were set to match the planting density of crops, where the water-sensitive paper was used to collect the droplet data. After UAV operation, the water sensitive paper was collected into a plastic bag for later use. An hp4678 scanner was selected to map the collected water-sensitive paper after the experiment. A DepositScan software was utilized to analyze the water-sensitive paper in each sampling area after image acquisition. A detailed dataset was obtained, including the deposition amount, coverage density, and particle size of droplets. The data demonstrated that the accuracy of the device was within 0.6 m at the operating speed of 2 m/s. The application effect was finally stabilized within 2.2 m in the case of continuous operation. Particle size varied smoothly in the boundary area of prescription, as the rotating speed of the centrifugal nozzle increased. The findings can provide a sound basis for the improvement of variable application technology of plant protection UAV in precise agriculture. [ABSTRACT FROM AUTHOR]

Modern mechanical equipment is very important to agricultural production. The introduction of modern machinery and equipment into the production process of traditional Chinese medicine is an effective way to solve the contradiction between the expansion of production scale of traditional Chinese medicine industry and the reduction of labor force. The mechanization development of traditional Chinese medicinal materials production is in the initial stage. The main goal at this stage is to realize the "from scratch" of the relevant technical equipments. However, due to the varieties of traditional Chinese medicine, complex production process, regional differences and other factors, it is difficult to judge the demand for mechanized production of traditional Chinese medicine and lack of methods. How to evaluate and analyze the the differences in the demand for mechanized development is of great significance to the research of technical equipment, the implementation of supply side reform and the promotion of the production and development of traditional Chinese medicine. According to the characteristics of traditional Chinese medicinal materials production, combined with the analysis of degree of mechanized operation, status of technology and equipment and levels of user demand, this paper constructs the evaluation index system for the development of technical and equipment of traditional Chinese medicinal materials production. The degree of mechanized operation indicates the ratio of mechanized operation area to the total planting area. The status of technology and equipment is alculated by weighting the five indexes of advance ment, economy, applicability, reliability and security. The levels of user demand is divided according to the proportion of users with demand, users with demand but no machinery available and the proportion of users with demand in different production process. Then an evaluation model combined with entropy weight method and hierarchical cluster analysis method is formed, and after classifying by the hierarchical cluster analysis method, the model is expressed functionally based on the Fisher discriminant method. In empirical research, the demonstration base of national comprehensive experimental station of traditional Chinese medicinal materials is selected as the research object, eight production processes of sowing, transplanting, fertilization, intertillage, plant protection, harvesting, cleaning and drying are selected for evaluation Through the investigation in 23 provinces of China, the production processes of traditional Chinese medicinal materials production are categorized into three types. The harvest, intertillage, and transplanting belonged to the type A, which have the highest demand level. The seeding is classified as type B, and the drying, cleaning, plants protection and fertilization are type C. The phenomenons of “no machinery available” and “unsuitable to use” are obvious for type A, and there is an urgent demand for the development of technology and equipment, the evaluation results are consistent with the investigation results. According to the further calculation results based on discriminant Function I, the central values of type A, type B and type C are -2.868, 1.904 and 1.675 respectively, which shows that the evaluation model of development demands classification can be accurately expressed by quantitative mathematical functions. The machinery of the type A production processes represented by harvest should be developed in priority in traditional Chinese medicinal materials production. The research and development of special machinery for the production of traditional Chinese medicinal materials should take the road of combining independent innovation research with the introduction of other main grain production machinery. The model proposed in this paper reflects the reasons and details at the same time of forming classification, which can provide reference for the development demand evaluation of other crops or regional agricultural machinery technology and equipment with backward mechanization development. [ABSTRACT FROM AUTHOR]

Rational construction of a well-facilitated farmland become necessary for food security and modern agriculture in China. In farmland construction, the automatic management of spatial data can benefit to accurately distinguish well-facilitated farmland from the various land types. Various discriminating ways of well-facilitated farmland are adopted due to the different influence factors of agricultural production in in different regions, where the spatial distribution and structural features of well-facilitated farmland are quite different from place to place across the country. Most of the previous studies focus mainly on policies, benefit evaluation, preliminary planning and design in the well-facilitated farmland construction. There is still lacking on the studies of the discrimination and analysis for the regional structural features of the well-facilitated farmland. In this paper, a framework of an index system was constructed to identify the spatial distribution and structural features of the well-facilitated farmland using the law of spatial differentiation together with the related national standards and strategic planning, ranging from the scale and shape of farmlands, irrigation and drainage facilities, traffic accessibility, and farmland protection ratio. The identifying system was designed on the basis of the index framework with C#. NET and Arc Object. Subsequently, the proposed system was verified for its availability by taking a case study of a Loess Plateau and a southern mountainous region. The results were as follows: (1) In the Loess Plateau area, the standard rate of the farmland scale, farmland shape, irrigation and drainage facilities, traffic accessibility was 87.01%, 83.12%, 80.52%, 90.91% and 83.12%, respectively. The well-facilitated farmland area can be identified by the system was 38.33 hm² with the total discriminating precision was 94.38%. There were some farmlands that did not meet the requirements of the well-facilitated farmland, such as incomplete irrigation and drainage facilities, the irregular shapes of the fields that distributed in the branch furrow and furrow head around the farmland. (2) In the southern mountainous area, the standard rate of all spatial features was 100%. The well-facilitated farmland area that identified by the system was 30.07 hm², which was 10.34 hm² higher than that of the state-approved well-facilitated farmland. The high identified areas can be because some fields that meet the requirements of well-facilitated farmland have not been classed as the permanent basic farmland in some administrative regions. When regardless of this classification, the total discrimination precision was 100%. This index system can be used in different scenarios, such as macro monitoring and evaluation, project design and inspection of the well-facilitated farmland. This system was also applied for the Northeast Plain, North China Plain, Loess Plateau and southern mountainous regions, while the key elements of the spatial features of well-facilitated farmland construction can be detected with a reliable discriminant resolution. When combining with the remote sensing technology, the index system can help automatic management to know the real-time spatial data of well-facilitated farmland construction. Therefore, the developed system can be successfully applied to identify the extract well-facilitated farmland in the construction area, and then to analyze the obtained spatial data in real time, finally to implement automatic management for well-facilitated farmland construction. Furthermore, the proposed system in this paper can offer a promising reference to the current comprehensive supervision platform, and improve the management effectiveness of well-facilitated farmland construction in modern agriculture. [ABSTRACT FROM AUTHOR]

Dividing farmland into different zones for facilitating management (management zone) at regional scales can help improve agricultural production in reforming agricultural technology implementation in China. Improving detailed prescription of the management zone division can provide guidance to farming and service optimization at regional scale.Appropriately selecting indexes in management zones can reduce the required data and can thus subsequently improve management.Available index selection usually relies on empirical knowledge of experts and /or multivariate statistical analysis. However, expert evaluation method could be bias, while the multivariate statistical analysis method cannot reduce the number of indexes compared to the original index set and thus need to supervise the data. In addition, most existing work on fragmentation of management zones focused on zone-dividing method rather than from index selection by removing indexes that lead to fragmentation. This paper aims to resolve these limitations with a proposed unsupervised filtering index selection method, based on the index correlation clustering (FSCC) using the concept of feature selection. FSCC reduces the original index set to obtain a subset called FSCC set. FSCC applies the correlation matrix of all indexes to cluster the original indexes set. It then selects all cluster centers as a representatives to form a new index subset as the FSCC set. The quantity of the indexes in the FSCC set was reduced,compared to the original index set, and the redundancy of the indices set was descended. To improve practical operability of the management zones, we applied the index optimization algorithm developed based on the consistency and integrity (CIO) to the FSCC set to remove indices which resulted in fragmentation. CIO couples Kappa Coefficient with fragmentation index to generate an optimization strategy for the FSCC sets. CIO screens the indices which lead to the fragmentation while, in the meantime, considering the consistency of the management zone results prior to and after the optimization. We applied the method to winter wheat in China, with factors that affect wheat growth, including meteorology, soil and topography, being divided at four regional scales. We first used the FSCC and the two traditional filter feature selection methods, Variance and Laplacian Score, to select index subsets for the four scales, and compared the resultant management zones produced from them. The CIO was then applied to the four scales produced by the FSCC. The results showed that the FSCC method preserves the diversity of the features in the original index set. It significantly removed the redundant indices and had a better performance in the management zones. The best performance shows that in Rugao 2.5 km Grain, FSCC less than 52.44%, 49.52%, 49.45% both of Variance and Laplacian Score in FPI, MPE, NCE. The CIO improved the management zones effect of the FSCC index set, which reduced the number of indexes and effectively removed the indexes that led to a number of isolated units or patches. Compare to FSCC, except Nantong 10km, CIO has an average decrease in FPI, MPE, NCE of 0.061, 0.078, 0.082. Usingthe four regional scales, FSCC and CIO presented in this paper were effective in selecting indices and have potential application in management zone division. [ABSTRACT FROM AUTHOR]

Green development of agriculture is a profound revolution in the concept of agricultural development and the inevitable course to achieve sustainable development of agriculture in China. This study reviewed the roles and challenges of agricultural engineering and technology on green development of agriculture and proposed the near future directions. The level of protection and utilization of agricultural water and soil resources in China has gradually increased, and the utilization rate of agricultural waste such as crop straws, animal manure, and agricultural membranes has increased greatly. However, problems such as water shortages and arable land degradation are serious. The utilization rate of chemical fertilizers and pesticides for food crops has been increasing year by year. However, the problems of excessive application of pesticides, and external pollution still need to be resolved. In the field of agricultural ecological protection and construction, a series of projects such as soil and water conservation, returning farmland to forests and grasses had been carried out and results were delightful. However, high-intensity and extensive production methods have caused problems such as the structural imbalance in agricultural ecosystems and functional degradation. The level of quality and safety of agricultural products in China has gradually improved. However, issues such as pesticide residues, resistance gene residues, and heavy metal pollution in a few regions are still not optimistic. To resolve these problems, this paper proposed possible technological innovation in agricultural engineering serving green agrarian development: 1) In the field of agricultural resource monitoring, the further research should focus on core technologies of monitoring, evaluation, and early warning analysis of cultivated land quality, biological resources, production environment, non-point source pollution, and land carrying capacity so as to build decision-making systems that could integrate real-time monitoring, remote diagnosis, early warning, emergency prevention and control, and command and dispatch. 2) In the field of utilization of water and soil resources, the future study should enhance the use efficiency of agricultural water resources by developing water-saving equipments, establish efficient water-saving modes, improve the efficiency of land resource utilization by focusing on construction of farmland ecosystems and rehabilitation of farmland pollution. 3) In regard to agricultural inputs, the focus should be on the transformation of fertilization application methods, the application of new fertilizer technologies, as well as high-yield and efficient fertilization technologies for crops. In regard to pesticide reduction and control, the key was to develop in-situ intelligent nutrient detection, enhance fertilizer reduction and efficiency based on fertilizer application limit standards, accelerate the revision of organic fertilizer industry standards, promote the use of new fertilizer products, and develop fertilizer reductions for different crops in different regions. 4) In terms of agricultural mechanization, the main direction of the future research was to focus on fields such as large-scale field planting, facility agriculture, cash crops and aquaculture of livestock and poultry, and resource-saving agricultural machinery, straw return to the field, intelligent agricultural equipment sensors, agricultural machinery navigation, and precision operations. 5) In terms of agrarian waste resource utilization, the next work should explore the theoretical system of agricultural waste resources recycling, biological transformation and pollutant removal mechanisms, and develop equipments related to returning crop straws to the field, maturation of anaerobic fermentation, pyrolysis carbonization, and collection and storage of agricultural waste resources and so on. This paper put forward to policy suggestions from 4 aspects: strengthening the concept of green agricultural development, establishing a technological innovation and extension system, improving the construction of a standard order and strengthening policy support. It is hoped to provide meaningful guidance for further improving China's agricultural engineering technology innovation level and promoting green agrarian development. [ABSTRACT FROM AUTHOR]

Cotton stalk is an important renewable resource. China is rich in cotton stalk, if such a large amount of resources are recycled, it will produce huge economic benefits. But most of them are not recycled at present. In order to improve the mechanized recovery level of cotton stalk, study the influence of different parameters on the mechanized recovery of cotton stalk, and solve the outstanding problems such as high cotton stalk plucking rate and high cotton stalk leakage rate, this paper studied and designed a toothed disc cotton stalk harvester. The machine was consisted of suspension device, limit wheel, pull-out tooth plate, stalk discharge device, hydraulic motor, hydraulic pipeline and hydraulic control box. The key component of the machine was a toothed disc type stalk pulling device. During operation, the cotton stalk was lifted out through the toothed disc, and then the cotton stalk was discharged to the surface through the stalk discharge device. Leakage rate and plucking rate of cotton stalk were the main parameters to evaluate the performance of toothed disc cotton stalk harvester. In this paper, Box-benhnken central combination test method was used to study the working parameters of toothed disc cotton stalk harvester. Three-factor and three-level quadratic regression orthogonal test was designed. The three-dimensional model of response surface was established with the diameter of the toothed disc, the toothed disc speed ratio and the lifting height as the influencing factors. The influence of each factor on the quality of work was analyzed, and the influencing factors were optimized synthetically. The results showed that the lifting height and the toothed disc speed ratio had significant effects on the cotton stalk plucking rate (P< 0.01), while the lifting height, the diameter of the toothed disc and the toothed disc speed ratio had significant effects on the rate of cotton stalk leakage rate (P<0.01). The working parameters of the machine were deduced from the regression model optimization as follows: the lifting height was 66.2 mm, the diameter of the toothed disc was 627.59 mm, and the toothed disc speed ratio was 0.57. In November 2018, field test was carried out in the Yellow River Delta (Binzhou) National Agricultural Science and Technology Park. Test area was divided into 17 test plots, leakage rate and plucking rate of cotton stalk at each test plot were calculated. The results of the Daejeon experiment showed that when the lifting height was 70 mm, diameter of the toothed disc was 630 mm and the toothed disc speed ratio was 0.57, the cotton stalk plucking rate could reach 1.5% and the cotton stalk leakage rate was low to 3.0%. The test results showed that the theoretical results were coincident with the measuring results, and the error between them was less than 4%. The research results can provide references for the structure improvement design and operation parameters optimization of toothed disc cotton stalk harvester. [ABSTRACT FROM AUTHOR]

Cotton stalk is an important renewable resource. China is rich in cotton stalk, if such a large amount of resources are recycled, it will produce huge economic benefits. But most of them are not recycled at present. In order to improve the mechanized recovery level of cotton stalk, study the influence of different parameters on the mechanized recovery of cotton stalk, and solve the outstanding problems such as high cotton stalk plucking rate and high cotton stalk leakage rate, this paper studied and designed a toothed disc cotton stalk harvester. The machine was consisted of suspension device, limit wheel, pull-out tooth plate, stalk discharge device, hydraulic motor, hydraulic pipeline and hydraulic control box. The key component of the machine was a toothed disc type stalk pulling device. During operation, the cotton stalk was lifted out through the toothed disc, and then the cotton stalk was discharged to the surface through the stalk discharge device. Leakage rate and plucking rate of cotton stalk were the main parameters to evaluate the performance of toothed disc cotton stalk harvester. In this paper, Box-benhnken central combination test method was used to study the working parameters of toothed disc cotton stalk harvester. Three-factor and three-level quadratic regression orthogonal test was designed. The three-dimensional model of response surface was established with the diameter of the toothed disc, the toothed disc speed ratio and the lifting height as the influencing factors. The influence of each factor on the quality of work was analyzed, and the influencing factors were optimized synthetically. The results showed that the lifting height and the toothed disc speed ratio had significant effects on the cotton stalk plucking rate (P< 0.01), while the lifting height, the diameter of the toothed disc and the toothed disc speed ratio had significant effects on the rate of cotton stalk leakage rate (P<0.01). The working parameters of the machine were deduced from the regression model optimization as follows: the lifting height was 66.2 mm, the diameter of the toothed disc was 627.59 mm, and the toothed disc speed ratio was 0.57. In November 2018, field test was carried out in the Yellow River Delta (Binzhou) National Agricultural Science and Technology Park. Test area was divided into 17 test plots (each plots is 30 m×0.76 m), leakage rate and plucking rate of cotton stalk at each test plot were calculated. The results of the Daejeon experiment showed that when the lifting height was 70 mm, diameter of the toothed disc was 630 mm and the toothed disc speed ratio was 0.57, the cotton stalk plucking rate could reach 1.5% and the cotton stalk leakage rate was low to 3.0%. The test results showed that the theoretical results were coincident with the measuring results, and the error between them was less than 4%. The research results can provide references for the structure improvement design and operation parameters optimization of toothed disc cotton stalk harvester. [ABSTRACT FROM AUTHOR]

As long-standing goals and all-round development practices of agricultural and rural modernization of China, the rural revitalization strategy provides huge opportunities and spaces for the disciplinary innovation and development of all agricultural related disciplines. The purpose of this paper was aimed to analyze special requirements, objectives, tasks and implementation environment raised by the rural revitalization strategy, based on reviewing the references and development history of agricultural engineering, and to analyze impacts of the rural revitalization strategies on and demand for the adjustment of agricultural engineering innovation, so that to figure out the ways, means and measures for new round disciplinary adjustments and restructuring of agricultural engineering. In recent years, the disciplinary renovation and restructuring for all subjects have been encouraged and launched by the Ministry of Education, China. The new round adjustment of the discipline layout marked by the innovation and construction of new disciplines such as new engineering and new agriculture were given more attention on introducing new technological and industrial revolution achievements, and transforming and upgrading traditional engineering and agricultural science with information technology, digital technology and artificial intelligence. But it’s worth noting that insufficient attention had been paid to the expansion of agricultural and rural modernization roads and changes in development patterns caused by the rural revitalization in this important adjustment process. Agricultural engineering takes multiple and wide range responsibilities in offering scientific and technological support and talent training and cultivation, so that it plays a special and key role in the modernization of agricultural and rural areas. Information, communication, intelligent and smart technologies, and all new breaking through technologies should be introduced into agricultural engineering to equip and empower it more updated and effectively. Under such a background, more efforts should also be made in such important development consequences brought by the rural revitalization strategy. The disciplinary adjustment of agricultural engineering should be restructured and optimized according to the instructions of the national development strategies and its new application areas required by agricultural and rural modernization. The more attention should be paid to the influence of social and economic development mode and structural adjustment and upgrading on innovation and its correspondence. Great attentions should be paid to following key issues: 1) The implementation of the rural revitalization strategy has opened up some new development spaces for the disciplinary innovation of agricultural engineering and proposed new development requirements. 2) The development and extension of the agricultural engineering technology systems will extend from the agricultural production to rural multi-industrial integration, relying on all agricultural and rural resources. 3) The cultivation of agricultural engineering talents and the construction of educational scientific research systems should aim at the requirements of the whole process for all rural productions, as well for the construction of rural ecological systems. 4) The systematic construction and management of agricultural and rural industries in different regions should meet the needs of the urban-rural integration development and the modernization of new rural communities’ governance system. Currently, more reform, renovations and adjustments should be made to reshape the agricultural engineering to meet new needs of the rural revitalization, the new development fields and directions of agricultural engineering disciplinary innovation currently are more practical in rural e-commerce engineering, rural landscape construction and maintenance engineering, rural new industrial development space construction, rural ecological environment engineering, and rural social and economic management and governance system engineering. [ABSTRACT FROM AUTHOR]