Titlebook: Agriculture Digitalization and Organic Production; Proceedings of the F Andrey Ronzhin,Mikalai Bakach,Alexander Kostyaev Conference proceed

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ellagic-acid

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Smart Agriculture in Southeast State of Brazil: An Overview of Technology and Adoptiongrain production systems is currently undergoing a digital transformation, largely driven by the increased availability of sensor-equipped and automated equipment. Nevertheless, there remains a question regarding the readiness of farmers and support personnel to effectively monitor and capitalize on

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Deep Learning for Pink Bollworm Detection and Management in Organic Cotton Farming Practicesal machinery‘s operational parameters, showcasing diverse theoretical capacities ranging from 0.067 to 0.2412 ha/h at speeds of 1, 2.5, and 3.6 km/h. Actual machine performance capacities vary from 0.058 to 0.177 ha/h, with average accuracy range between 74 and 81%. This DL model can be more trained

LIEN

The Use of Satellite Monitoring and Aerial Photography Data to Assess the Heterogeneity of Agricultuite images corresponds to the spatial distribution of NDVI according to the DJI Mavic3M UAV data. At the next stage of the research, it is planned to analyze the within field heterogeneity of crops for other crops of the Khabarovsk Territory using satellite monitoring, which will significantly reduc

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Application of Unmanned Aerial Vehicles for Precision Spraying of Chemicals in Agronomic Operations: an increase in efficiency and a reduction in chemical consumption during potato haulm treatment. The study contributes to the development of automated chemical treatment methods for agricultural lands using UAVs, showcasing their effectiveness and economic benefits. The article is beneficial for re

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Local Positioning of an Agricultural Mobile Robot Based on a Vision Systemangular coordinate system, and their verification was carried out. The general requirements for the optical system were also worked out and experiments were carried out on real equipment. Ultimately, the performance of the proposed algorithm was proven by conducting an experiment using a real robot

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