Agricultural crops programmed cultivation using intelligent system of irrigated agrocoenoses productivity analyzing

Abstract

The article considers the possibilities of controlling the programmed cultivation of agricultural crops using an intelligent system for analyzing the productivity of irrigated agrocoenoses. The information support of the intelligent system is standard information about agrometeological conditions, technical parameters of irrigation systems and irrigation machines, as well as information about the amount of water resources allocated for irrigation. The obtained results provide a strict theoretical basis for solving the issues of irrigation water distribution and operational management of the irrigation regime, clarify and simplify the procedure for choosing the optimal variant of the irrigation system design solution, and make it possible to make reasonable decisions related to the rational use of water resources in existing systems.

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Crop leaves high-resolution images analysis and segmentation by a convolutional neural network under small sampling condition

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