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This research focuses on developing a neural network model in the Python programming language to solve the technological problem of forecasting potato yields with limited agroclimatic data. The developed program is consi...

The issue of digitalization in agriculture is becoming particularly important in connection with implementing the national project on technological provision of food security in Russia, the component of which is technolo...

The article presents the developed algorithm and software for automated monitoring of strawberry plant growth using neural network technologies. The YOLO11x and YOLOx-seg models, pre-trained by transfer learning, are ada...