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The neural network‐based technologies have emerged as a potent method for image fusion, object detection, and other computer vision tasks as the rapid development of deep learning. Multi‐band infrared images, in particular, capture a more extensive range of radiation details and information compared to conventional single‐band infrared images. Consequently, the fusion of multi‐band infrared images can provide more features for object detection. However, it is crucial to consider that infrared images may contain sensitive information, potentially leading to privacy concerns. Ensuring datasets privacy protection plays a crucial role in the fusion and tracking process. To address both the need for improved detection performance and the necessity for privacy protection in the infrared environment, we proposed a procedure for object detection based on multi‐band infrared image datasets and utilized the transfer learning technique to migrate knowledge learned from external infrared data to internal infrared data, thereby training the infrared image fusion model and detection model. The procedure consists of several steps: (1) data preprocessing of multi‐band infrared images, (2) multi‐band infrared image fusion, and (3) object detection. Standard evaluation metrics for image fusion and object detection ensure the authenticity of the experiments. The comprehensive validation experiments demonstrate the effectiveness of the proposed procedure in object detection tasks. Furthermore, the transfer learning can train our datasets and update the model without exposing the original data. This aspect of transfer learning is particularly beneficial for maintaining the privacy of multi‐band infrared images during the fusion and detection processes. [ABSTRACT FROM AUTHOR]

In order to improve the field use efficiency of the mechanized wide row planting sugarcane area, reduce the grass and herbicide, increase the profit via the intercropping at the stage of sugarcane seedling, 7 peanut and 5 sweetcorn varieties were chosen to intercrop with sugarcane using sugarcane monocrop as a control, and the experiment of interplanting peanut and sweet corn in sugarcane wide row with supporting agricultural machinery was carried out simultaneously, the yield components and profit of 2 intercropping systems were investigated. The results showed that the plant height of sugarcane was negatively correlated with that of sweetcorn but positively correlated with that of peanut, which were intercropped between rows. Compared with sugarcane monocrop, the single stem weight of sugarcane intercropping with sweetcorn significantly decreased, which showed no significant difference intercropping with peanut; the tiller number, effective stems and yield of sugarcane significantly decreased for both intercropping systems, the decreasing rate of intercropping sweetcorn was significantly higher than that of intercropping peanut. However, there was no significant difference for sugarcane brix between each intercropping system and monocrop. Intercropping 'Yuetian 28' obtained higher corn yield and farmland straw input, 'Zhongnongtian 414' and 'Huameitian 9' possessed the optimal brix and spike respectively, while 'Zhanyou 1155' 'Rehong 1' and 'Zhanyou 1155' 'Zhanyou 75' 'Zhanyou 62' possessed the highest peanut kernel yield and oil content respectively. The increase of intercropping system profit over 30% showed as 'Zhongnongtian 414' > 'Huameitian 9' > 'ZGP113' > 'Zhanyou 1155', but the yield reduction rate of intercropping 'Huameitian 9' and 'ZGP113' increased 13.73 and 4.37 percentage points comparing with intercropping 'Zhongnongtian 414' and 'Zhanyou 1155', which determined the optimal intercropping varieties for sweetcorn and peanut were 'Zhongnongtian 414' and 'Zhanyou 1155'. In summary, sugarcane intercropping 'Zhongnongtian 414' sweetcorn could improve the profit and farmland straw carbon input while the decrease of sugarcane yield made adverse effect of keeping sugar red line. Sugarcane intercropping 'Zhanyou 1155' and 'ZGP113' could increase profit and achieve soil improvement based on stable sugarcane yield. [ABSTRACT FROM AUTHOR]

This study aims to understand the characteristics and distribution patterns of soil phosphorus (P) forms in the tropical high‐P orchards under cover cropping and to explore the biotic and abiotic factors driving the changes in P forms. The study collected three kinds of soil (clean tillage [CK, control], Stylosanthes guianensis cover [SC, legume], and Cynodon dactylon (L.) Pers. cover [CC, grass]) from a mango orchard and determined P forms in the water‐stable aggregates and bulk soil, analyzed the environmental factors and the structure of the bacterial‐fungal community. Compared to CK, SC and CC have a significant positive influence on the forms and distribution of soil P, increase the content of organic P (Org‐P) and certain inorganic P forms (Al‐P and Fe‐P), and enhance the content of P within macroaggregates (>0.25 mm), thereby maintaining total P (TP) and Olsen‐P in the top 30 cm of soil, particularly for the SC treatment. SC and CC also improved acid phosphatase (ACP), and water‐stable aggregates while decreasing bulk density (BD) and exchangeable aluminium (Ale) in the topsoil (0–15 cm). Redundant and Pearson analysis revealed these factors significantly affected soil P availability. Moreover, SC and CC increased the relative abundance of Nitrospira, Candidatus‐Udaeobacter, Pseudolabrys, and ADurb.Bin063–1 in the topsoil (0–15 cm), and decreased the relative abundance of Occallatibacter. Redundant and Pearson analysis indicated that these bacterial communities are likely associated with the availability of P. Overall, cover cropping promoted the transformation and distribution of P forms by altering the physical, chemical, and biological environment of the soil, which was beneficial for the sustainable P management in tropical high‐P soils. This research offers practical insights into the use of cover crops as a tool for enhancing soil health and sustainable P management in tropical high‐P orchards. [ABSTRACT FROM AUTHOR]

Elucidation of different vegetation energy partitioning and environmental control factors at the agro-ecosystem levels is critical for better understanding and scientific management of farmland. Pineapple (Ananas comosus (L.) Merril) is a tropical plant widely cultivated in the southern subtropical region of China; however, the energy partitioning of crassulacean acid metabolism (CAM) plants like pineapple and their interactions with the environment remain not well understood. In this study, we investigated the energy partitioning patterns of pineapple fields and latent heat flux (LET) response to environmental factors using the Bowen ratio energy balance system and meteorological observation field data. The results showed that the CAM plant pineapple energy partitioning was significantly different from the common C3 and C4 crops during the study period, which was mainly attributed to the complex interactions between CAM plant transpiration and the environment. Specifically, sensible heat flux was the main component of net radiation (Rn), followed by the LET, accounting for 65.0% and 30.8% of the Rn, respectively. Soil heat flux accounts for a very small fraction (4.2%). The mean values of the Bowen ratio were 2.09 and 1.41 for sunny and cloudy days during the daytime and 0.74 and 0.46 at night, respectively. LET is a key factor in responding to crop growth status and agricultural water management, and the path analysis indicates that its variation is mainly influenced directly by Rn with a direct path coefficient of 0.94 on sunny days, followed by vapor pressure deficit, air temperature and relative humidity, which indirectly affect LET through the Rn pathway, whereas soil moisture and wind speed have a low effect on LET. On cloudy days, the effect of Rn on LET was overwhelmingly dominant, with a direct path coefficient of 0.91. The direct path coefficients of the remaining factors on LET were very small and negative. Overall, this study is an important reference for enhancing the impact of pineapple as well as CAM plants on the surface energy balance and regional climate. [ABSTRACT FROM AUTHOR]

Sugarcane is the major sugar-producing crop worldwide, and hybrid F1 populations are the primary populations used in breeding. Challenged by the sugarcane genome's complexity and the sucrose yield's quantitative nature, phenotypic selection is still the most commonly used approach for high-sucrose yield sugarcane breeding. In this study, a hybrid F1 population containing 135 hybrids was constructed and evaluated for 11 traits (sucrose yield (SY) and its related traits) in a randomized complete-block design during two consecutive growing seasons. The results revealed that all the traits exhibited distinct variation, with the coefficient of variation (CV) ranging from 0.09 to 0.35, the Shannon-Wiener diversity index (H′) ranging between 2.64 and 2.98, and the broad-sense heritability ranging from 0.75 to 0.84. Correlation analysis revealed complex correlations between the traits, with 30 trait pairs being significantly correlated. Eight traits, including stalk number (SN), stalk diameter (SD), internode length (IL), stalk height (SH), stalk weight (SW), Brix (B), sucrose content (SC), and yield (Y), were significantly positively correlated with sucrose yield (SY). Cluster analysis based on the 11 traits divided the 135 F1 hybrids into three groups, with 55 hybrids in Group I, 69 hybrids in Group II, and 11 hybrids in Group III. The principal component analysis indicated that the values of the first four major components' vectors were greater than 1 and the cumulative contribution rate reached 80.93%. Based on the main component values of all samples, 24 F1 genotypes had greater values than the high-yielding parent 'ROC22' and were selected for the next breeding stage. A rapid sucrose yield estimation equation was established using four easily measured sucrose yield-related traits through multivariable linear stepwise regression. The model was subsequently confirmed using 26 sugarcane cultivars and 24 F1 hybrids. This study concludes that the sugarcane F1 population holds great genetic diversity in sucrose yield-related traits. The sucrose yield estimation model, y S Y = 2.01 x S N + 8.32 x S D + 0.79 x B + 3.44 x S H − 47.64 , can aid to breed sugarcane varieties with high sucrose yield. [ABSTRACT FROM AUTHOR]

In order to solve the problems of near-field acoustic holography in applications such as external interference and aperture effects, a sound field separation technique using the principle of double layer patch acoustic radiation modes is proposed in this paper. The radiated acoustic pressures over two planar surfaces at certain distances from the sources are calculated first. Then, the effects resulting from the backscattering interference in non-free sound fields can be eliminated by a double-layer sound field separation technique. Next, data interpolation and extrapolation are performed on the separated data to increase the sound source's pressures on the holographic plane equivalently for holographic images with higher spatial resolution. Simulation and experimental results demonstrate that good agreements can be obtained with few measuring points. [ABSTRACT FROM AUTHOR]

Objective: To investigate the effect of application of cytridini triphosphatis (CTP) combined with dexamethasone on sudden deafness., Methods: Two-hundred and seven patients (312 ears) with sudden deafness were randomly divided into CTP group (n = 159 ears) and control group (n = 153 ears). Besides intravenous administration of CTP, another treatments in CTP group were the same as that in control group including hyperbaric oxygen, vasodilator, energy preparation such as ATP, CoA and dexamethasone (DXM)., Results: The hearing threshold was (75.56 +/- 30.24) dB HL in CTP group and (72.50 +/- 40.50)dB HL in control group (P > 0.05) before treatment. The average value of the hearing threshold after treatment was decreased by (50.08 +/- 21.47) dB HL in CTP group and (19.45 +/- 19.12) dB in control group(P < 0.05), respectively., Conclusion: The application of CTP combined with DXM can significantly improve the effect of treatment on sudden deafness and CTP may enhance the recovery rate in the patients with sudden deafness, which was much higher than that treated by the traditional methods. However, the mechanism of the effect of CTP coupled with DXM is still unknown and further study is necessary.