Affiliation:
1. Siberian Federal Scientific Center of Agro-Bio Technology of the Russian Academy of Sciences
Abstract
The paper considers modernization of the agricultural sector with the aim of enhancing its efficiency and competitiveness through the implementation of digital technologies. Additionally, it analyzes the methods and software employed for the selection of technologies and technical tools. (Research purpose) The research aims to develop software modules for managing the production of crop products. This involves the selection of appropriate agricultural technologies and the optimal utilization of the machine and tractor fleet. The software designed is expected to take into account the farm agroclimatic and production conditions. (Materials and methods) The development of software components for a web-based software package aimed to facilitate the annual work planning in grain crop cultivation, is based on a method rooted in the evaluation of natural, climatic, and production conditions. (Results and discussion) The findings support the feasibility of developing software components for a web-based software package by selecting agricultural technologies and determining optimal utilization options for technical means. The research resulted in the development of a structural scheme for the software package designed as a web-based application, encompassing such software modules as «Selection of technologies» and «Selection of technical means». These modules share a unified interface and operate on a common database. The operation of software modules for selecting technologies was tested in the northern forest-steppe zone of the Novosibirsk region in 2022.The tests examined the cultivation technologies for wheat at a standard intensification level across four working areas with varying predecessors. (Conclusions) The developed software components will be subsequently integrated into the software package in the form of a web application. This application can serve as a support system for making informed managerial decisions in the realm of machine-based agricultural technologies. The software package facilitates the automation of technology selection, the creation of an annual work plan, and the computation of economic indicators.
Publisher
FSBI All Russian Research Institute for Mechanization in Agriculture (VIM)
Reference17 articles.
1. Rose D.C., Wheeler R., Winter M., et al. Agriculture 4.0: Making it work for people, production, and the planet. Land Use Policy. 2021. N100. 104933 (In English). DOI: 10.1016/j.landusepol.2020.104933.
2. Sharma R., Parhi Sh., Shishodia A. Industry 4.0 Applications in agriculture: cyber-physical agricultural systems (CPASs). Advances in Mechanical Engineering. Select Proceedings of ICAME 2020. 2020. 807-813 (In English). DOI: 10.1007/978-981-15-3639-7_97.
3. Hovhannisyan T., Efendyan P., Vardanyan M. Creation of a digital model of fields with application of DJI phantom 3 drone and the opportunities of its utilization in agriculture. Annals of Agrarian Science. 2018. N16(2). 177-180 (In English). DOI: 10.1016/j.aasci.2018.03.006.
4. Phillips P.W.B., Relf-Eckstein J.-A., Jobe G., Wixted B. Configuring the new digital landscape in western Canadian agriculture. NJAS – Wageningen Journal of Life Sciences. 2019. N90. 100295 (In English). DOI: 10.1016/j.njas.2019.04.001.
5. Kiryushin V.I. Nauchno-innovatsionnoe obespechenie prioritetov razvitiya sel’skogo khozyaistva [Scientific and innovative support of priorities of agricultural development]. Dostizheniya nauki i tekhniki APK. 2019. N33(3). 5-10 (In Russian). DOI: 10.24411/0235-2451-2019-10301.