一种周期与物候联合的变量施肥处方图像生成方法
By using the method of phenological history accumulation of vegetation state vectorization and cluster label weighting, a pixel-by-pixel fertilizer application image is generated, which solves the problems of poor adaptability of fertilizer prescription images and low decision accuracy in existing technologies, and realizes precision fertilization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NORTHEAST INST OF GEOGRAPHY & AGRIECOLOGY C A S
- Filing Date
- 2026-06-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing variable fertilizer prescription image generation methods cannot effectively reflect the dynamic changes in crop growth within the field, and cannot provide accurate fertilization decisions at different fertilization cycles and phenological stages, resulting in poor adaptability of fertilizer prescription images and low decision accuracy.
A variable fertilization prescription image generation method combining periodicity and phenology is adopted. By using the vegetation state vectorization module JLBQModel accumulated from phenological history, combined with UAV multispectral data, ground sensor data and fertilization history data, an 8-dimensional state vector image is generated, and a pixel-by-pixel fertilization amount image is generated by weighting with clustering labels.
It improves the accuracy of fertilizer prescription images and decision-making, and can provide differentiated fertilization instructions at different growth stages and phenological stages, avoiding local over- or under-fertilization and improving the adaptability of fertilization.
Smart Images
Figure CN122397447A_ABST