Planting optimization method and system based on crop yield estimation in saline-alkali region

By combining soil water and salt transport dynamic prediction, crop salt tolerance modeling, and transport-salt tolerance coupled modeling, the problems in crop yield prediction and planting optimization in saline-alkali areas were solved. High-precision and dynamic planting optimization strategy generation was achieved, improving the adaptability and yield of crop planting in saline-alkali areas.

CN120875186BActive Publication Date: 2025-11-28CHANGCHUN NORMAL UNIV
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Patent Information

Application Number
CN202511388790.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-09-26
Publication Date
2025-11-28
Estimated Expiration
2045-09-26

AI Technical Summary

Technical Problem

Existing technologies for crop yield prediction and planting optimization in saline-alkali areas suffer from several problems: a disconnect between yield prediction and planting optimization, overly empirical optimization strategies, lack of physical constraints in models, insufficient prediction accuracy and interpretability, coarse threshold division, difficulty in reflecting crop nonlinear response, and failure to consider the time-series cumulative effect of static coupling.

Method used

A comprehensive, progressive approach combining soil water and salt transport dynamic prediction, crop salt tolerance modeling, and transport-salt tolerance coupled modeling is adopted. By combining 3D convolution and convolutional LSTM with deconvolution decoding, a physical consistency loss function is introduced, and an exponential decay function and covariate weighted correction factor are used to dynamically simulate the crop growth process and generate a comprehensive planting optimization strategy.

Benefits of technology

It has improved the adaptability of crop planting in saline-alkali areas and the overall yield level, enhanced the physical rationality of water and salt transport prediction and the accuracy of crop yield response, simulated the entire crop growth process in a dynamic response, and generated scientific planting optimization strategies.

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Abstract

The application discloses a kind of based on saline-alkali region crop yield estimation and planting optimization method and system, it is related to crop yield prediction and planting optimization field, this method includes: data acquisition fusion processing;Soil water salt migration dynamic prediction, realizes water salt space-time distribution prediction using the space-time cubic modeling adaptive model combined with physical correction;Crop salt tolerance modeling, based on physiological response fitting and threshold segmentation establishes multi-interval salt tolerance model and introduces covariant correction;Migration salt tolerance coupling modeling, introduce salt memory factor and stage sensitivity control factor, dynamically simulate the growth response of crop under salt stress;Crop yield estimation and planting optimization, based on coupling model output generation regional yield prediction and sowing configuration scheme, and form optimization strategy in combination with irrigation fertilization and the like measure.This application realizes the model-driven integrated optimization of crop in saline-alkali area from yield estimation to planting decision, with high precision and wide applicability.
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