Multi-crop growth synchronous monitoring system based on remote sensing

By constructing a remote sensing-based multi-crop growth synchronous monitoring system, and utilizing a dual-branch coupled neural network and a dynamic routing pool for multi-crop dedicated models, the system solves the problem of accurate differentiation and synchronous quantitative inversion in multi-crop mixed planting areas, improving monitoring accuracy and reliability, and adapting to different planting patterns and environments.

CN121640290APending Publication Date: 2026-03-10GANSU AGRI UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-07
Publication Date
2026-03-10

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Abstract

The invention discloses a multi-crop growth synchronous monitoring system based on remote sensing, and relates to the technical field of agricultural remote sensing monitoring. Comprising a remote sensing data acquisition module, a primary perception and feature preliminary screening module, a depth feature extraction and coupling reasoning module, a primary cross check and uncertainty quantification module, an iterative optimization and secondary check feedback module and a result synthesis and decision output module. According to the multi-crop growth synchronous monitoring system based on remote sensing, synchronous parallel processing of crop identification and growth parameter inversion is realized by constructing a depth feature extraction and coupling reasoning module, and the problem of insufficient monitoring precision caused by similar spectral features under a multi-crop mixed planting condition is effectively solved. According to the system, a crop special model is automatically matched through a dynamic routing mechanism, and the accuracy and reliability of inversion results of growth parameters of different crops are improved in combination with multiple verification and an iterative optimization process.
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