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A promising concept of artificial intelligence that records intense developments in the field of digital imaging is Deep Learning (DL). More intensive research within this field has been recorded over the past two decades, and has been applied in the agricultural industry as well. This paper will describe the DL technology which represents a part of Machine Learning (ML), based on Convolutional Neural Networks (CNN). It takes a special application in a machine vision where it allows machines to learn from experience, adapt to new technologies, and perform human tasks. Input data can be from a variety of sources: from classic digital camera shots to satellite images, as well as from recordings obtained by means of hyperspectral, thermal and infrared cameras. The increasing popularity and use of trunks in agricultural fields is increasing, and the very application of these new technologies leads to the huge amount of data that needs to be processed in real time, therefore, DL algorithms are increasingly used. The paper will summarize the current and considered possible applications of CNN in primary and precise agriculture in the future.

The paper analyzes the possibility and the needs for the use of specific types of robots (mini unmanned aircraft with different designs and the designation of UAVs) and the possibility of using in agriculture (agrodrone). The year 2015 was proclaimed (Fortune Magazine, 2016) as the year of increasing and widespread use of UAVs in various areas of human activity, especially in agriculture and forestry (75% of use). This is important for large farm areas, where UAV has many useful functions and a very cost-effective commercial application. Today, the needs for UAVs have increased sharply with various opportunities for both civilian and military needs. There is also a significant interest in the development of new drones that can autonomously fly in different environments and locations and can perform various missions and tasks. Over the past decade, a wide range of applications for drones has gained the significance that led to the discovery of various types of unmanned UAVs of different sizes and weights. In this review, the classification of UAVs ranging based on a detailed overview of the development of the drone industry in recent years, this paper demonstrates the evolution of drones and differents application technologies. Of course, this development is very advanced and revolutionary, as well as the development of mobile and smart phones and the Internet, which will open the way for many users to participate in defining the future of UAV implementation. LIVONA Company, Belgrade, Serbia (and Institute of Agricultural Engineering, Faculty of Agriculture in Belgrade, in tehnical cooperation) has a study and plans on the implementation of the model micro drone EBee SQ Livona RTK in the future general plans for inspection of protection Soils of territory Minicipality of Stara Pazova (351 km2), and agricultural company Napredak, and exspecially plans for soils of agriculture of R. Serbia. VEKOM GeoCompany from Belgrade, (in cooperation with Institute of Agricultural Engineering, Faculty of Agriculture in Belgrade), has a study and plans on the implementation of the model of the drone Aibot KX6 model, in the future of application of agricultural soils of region Open pit Kolubara for area from app. 600 km2 and the other soils of Region). Institute of Agricultural Engineering, Faculty of Agriculture in Belgrade, in cooperation with Municipality of Ub, has a study and plans on the implementation of the model micro drone Hubsan H109S X4 PRO in the future plans general inspection of protection Soils and Waters of territory of Municipality Ub (456 km2). U radu su analizirane mogućnosti i potrebe upotrebe specifičnih vrsta robota (mini bespilotnih letelica sa različitim dizajnom, o značane kao UAV) i način korištenja u poljoprivredi (agrodron). Časopis Fortune je 2015.godinu proglasio kao godinu sve većeg i široko rasprostranjene upotrbe UAV letelica, u različitim oblastima ljudske delatnosti, posebno u poljoprivredi i šumarstvu (75% upotrebe). Ovo je naročito važno za velike farme i oblasti pod šumama, gde UAV ima mnogo korisnih funkcija i veoma isplative komercijalne aplikacije. Danas, potrebe za UAV imaju nagli porast sa različitim mogućnostima kako za civilne tako i za vojne potrebe. Takođe postoji značajan interes za razvoj novih bespilotnih letelica koji mogu autonomno leteti u različitim okruženjima i lokacijama i obaviti različite misije i zadatke. Tokom protekle decenije XXI veka, širok spektar aplikacija za bespilotne letelice je dobio značaj koji je doveo do konstrukcija različitih tipova bespilotnih UAV, različitih veličina i težina i svakako namene. Naravno , tehnološki razvoj kod dron sistema je veoma tehničko -tehnološki napredan i revolucionaran, uz razvoj mobilnih i pametnih (android) telefona i interneta, brzo otvora puteve i mogućnosti za mnoge korisnike u definisanju nove budućnosti implementacije UAV različitim oblastima primene. Kompanija Livona d.o.o., Beograd i Institut za poljoprivrednu tehniku, Poljoprivredni fakultet u Beogradu, u tehničkoj saradnji imaju planove o implementaciji modela mikro drona EBee SK Livona RTK u narednim generalnim planovima za inspekciju, zaštitu i korišćenje poljoprivrednih zemljišta Republike Srbije, i posebno teritorije Opštine Stara Pazova (351 km2), gde je posebno mesto poljoprivrednog preduzeća Napredak a.d. VekomGeo d.o.o, Beograd u saradnji sa Institutom za poljoprivrednu tehniku Poljoprivrednog fakulteta u Beogradu ima planove o budućoj upotrebi drona model Aibot X6, za nadzor na površinama od 600 km2 (i poljoprivredna zemljišta) otvorenog kopa R.B. Kolubara ili drugih objekata. Institut za poljoprivrednu tehniku, Poljoprivredni fakultet u Beogradu, ima planove o saradnji sa opštino m Ub, zbog upotrebe modela mikro drona Hubsan H109S Ks4 PRO u inspekciji oko zaštite i načina korišćenja zemljišta i vo da na ovoj teritoriji (456 km2).

The central role and the most important role, excluding the instability and occurrence of crisis business that come from outside the company have processes in the company. In order to maintain a position in a competitive market, it is necessary to define and implement business reengineering business processes in the enterprise. Given that modern technologies have an irreplaceable position in all business processes, it is necessary for manufacturers to adapt to emerging situations. In modern business conditions, tractor and engine manufacturers should provide alternative combinations of replacement of existing tractor equipment with suitable, which supports different applications using the same or new sensors. This implies extensive testing of samples of electrical equipment prior to installation, according to prescribed procedures and methodology. On the basis of the obtained results and defined technical-functional characteristics, an assessment of the usability of the examined sample and the system as a whole is formed. As business processes of reengineering require subprocesses and new procedures, the necessary laboratory tests and experimental research are carried out. Companies that use their resources best use their resources with their processes, achieving a competitive advantage that results in superior value creation. The results obtained lead to the acquisition of additional values ie the design of a new or redesigned product with a modern electrical appliance and a modern design. Advanced technologies for tractor electrical equipment aim to contribute to the overall quality of the tractor and enable the operator of the tractor to be efficient, comfortable, safe and safe in traffic. This paper gives a part of the exploitation research of the existing electrical equipment and laboratory testing of the functionality of the modern steering column with the associated sensor. The aim of these tests is to search for the alternatives of the electrical equipment components. The contribution of this type of test is uncertain as it ensures the quality of agricultural tractors and increases the competitive advantage. At the same time, it allows manufacturers of electrical equipment to improve the characteristics of their products.