一种适用于盐碱地改良的分层交替施肥方法
By constructing a soil-crop nutrient supply and demand model and a stratified alternating fertilization strategy, the mismatch between the dynamic changes in soil salinity and the crop growth requirements in saline-alkali land fertilization was solved, realizing refined management of saline-alkali land and optimization of crop growth, thereby improving yield and quality.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GANSU LONGHUIFENG CIRCULAR AGRI DEV CO LTD
- Filing Date
- 2025-04-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing fertilization techniques for saline-alkali land cannot accurately match soil nutrient supply with crop growth needs, ignore dynamic changes in soil salinity and crop responses to salt stress, and lack real-time monitoring and dynamic adjustment mechanisms, resulting in fertilizer waste and limited crop growth.
By constructing a soil-crop nutrient supply and demand model, combining convolutional neural network analysis of soil and crop data, a stratified alternating fertilization strategy is formulated, and soil salinity and crop growth status are monitored in real time during the fertilization process to dynamically adjust the fertilization plan.
Precision fertilization was achieved, fertilizer utilization was improved, soil pollution was reduced, the healthy growth of crops in saline-alkali land was promoted, yield and quality were increased, and the effect of saline-alkali land improvement was optimized.
Smart Images
Figure CN120391162B_ABST