Sky-land integrated agricultural big data analytics and decision support platform
Sky-Ground Integrated Agricultural Big Data Analysis and Decision Support Platform
Solution Overview
Integrates IoT data, satellite remote sensing data, meteorological data, market data, and production management data. Using big data and AI technologies for in-depth analysis and mining, it provides decision support for agricultural operators and governments in production planning, growth prediction, pest warning, yield estimation, and market analysis.
Solution Images
Applicable Areas
Large farms, agricultural cooperatives, agricultural industrial parks, and government agricultural management departments.
Applicable Crops
All types of crops, with deeper applications particularly in staple crops (rice, wheat, corn).
Detailed Solution Introduction
Data Aggregation
Through multiple methods such as APIs, crawlers, and IoT devices, it aggregates massive amounts of "sky (remote sensing), ground (IoT), and human (manual input)" data.
Data Processing and Modeling
Cleans and integrates multi-source heterogeneous data, and uses machine learning algorithms to build professional agricultural analysis models (such as yield prediction models and disease identification models).
Decision Applications
Production End: Provides recommendations for optimal timing of sowing, fertilization, irrigation, and harvesting; generates variable operation prescription maps.
Management End: Generates regional crop distribution maps, growth monitoring maps, and yield estimation maps to assist government supervision and subsidy distribution.
Market End: Analyzes price trends, predicts market risks, and guides sales strategies.
Visual Presentation
Intuitively presents analysis results through various forms such as GIS maps, charts, and reports.
Technical Highlights
"Sky-Ground" Integrated Monitoring
Combines remote sensing macro observation and IoT precise observation for more comprehensive analysis dimensions.
Professional Agricultural Models
The core advantage lies in the combination of profound agricultural knowledge and AI technology, making the models more suitable for agricultural practices.
Predictive Analysis
Not only describes the current situation, but also predicts the future (yield, price, risk), realizing the transformation from "post-remedy" to "pre-warning".
Industrial Chain Collaboration
Can connect pre-production, in-production, and post-production links to promote the integration of primary, secondary, and tertiary industries.
Main Technical Parameters
Application Effects
Success Cases
Modern Farm Project in Lishu County, Jilin
Project Introduction
Sinochem Agriculture provides comprehensive "planting plan + big data decision-making" services for the MAP demonstration farm in Lishu County, Jilin, creating a smart management model for corn cultivation.
Implementation Effects
Compared with traditional farming, the yield per mu increased by about 10%, chemical fertilizer and pesticide usage decreased by about 15%, and the comprehensive income per mu increased by more than 200 yuan. Standardization and scientificization of corn planting have been achieved.
User Feedback Summary
"In the past, we just followed what others did when farming. Now Sinochem's platform tells us when to do what and how much to do, which gives us great confidence. When we calculated the accounts at the end of the year, we really earned more than in previous years."
— Farmer Wang **, Lishu County, Jilin
"As a cooperative manager, the platform has helped us achieve precise management. It's clear which fields need fertilization and which need pest control. Unified purchasing and operation have significantly reduced costs."
— Li **, Corn Planting Cooperative, Jilin
"The yield prediction of the platform is very accurate. We know roughly how much we can harvest a month in advance, which is very helpful for arranging storage and contacting buyers, avoiding the unsalable problem of previous years."
— Zhang **, Agricultural Product Purchaser
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Sky-Ground Integrated Agricultural Big Data Analysis and Decision Support Platform
