Smart agricultural ecology is based on intelligent agricultural machinery, crop-centered, fully use the Internet of Things and big data technology, and integrate to build a multi-element, precise and intelligent system of "crop + agricultural machinery + soil + environment".
Make farm production management more refined
Develop production planning around crop indicators
Precise execution of agricultural production planning
Stay informed about the progress of your farm's production
No entry hardware is required, and the barrier to entry is low
It can access a variety of agricultural equipment and multi-dimensional data sources
Based on Beidou satellite navigation and positioning technology, it can realize the positioning, position tracking, autonomous walking, and path planning of agricultural machinery equipment.
The application of the system effectively reduces the driver's work burden, improves labor productivity and operation quality, and solves the problem of who will farm with intelligent agricultural machinery.
At present, it can meet the matching of agricultural machinery in the whole process of cultivation management and harvesting of paddy fields and dry fields.
The Yellow River Delta High-end and High-quality Food Intelligent Demonstration Zone Project is a first-class and the first digitally integrated, full-scenario unmanned farm in the country and the province in accordance with the idea of high-quality development of the entire agricultural industry chain. It has built five unmanned operating systems of "cultivation and sowing and water and fertilizer, plant protection, harvesting and storage" and a daily management intelligent platform, which can realize the automatic operation of the whole grain industry chain through one-click operation of mobile phones. At the same time, by introducing digital field management technology, saving water and fertilizer and saving medicine to the greatest extent not only improves crop yield, but also reduces agricultural non-point source pollution, and has good economic and ecological benefits.
Unmanned deep ploughing operation not only provides a good operating environment for subsequent sowing operations, reduces local waterlogging and other problems, but also provides a good operating environment for unmanned mechanical operations of plant protection operations and harvesting operations during crop growth.
Fine sowing monitoring/strip sowing monitoring can effectively prevent the situation of missing seedlings and broken ridges, and timely take replanting measures to avoid uneven spacing between sowing plants and improve work efficiency; It can not only save seed fertilizer, reduce input costs, but also greatly improve the quality of sowing operations and effectively increase profits.
Unmanned water and fertilizer integrates the field management measures of crop water and nutrient demand, and establishes soil condition big data through multispectral satellite remote sensing data, meteorological data, accumulated temperature cumular rain, on-site calibration measurement data of the Internet of Things, and crop growth period and inversion algorithm model. By installing insect and seedling condition monitoring IoT equipment, real-time analysis and monitoring of crop growth status, and analysis of the occurrence of diseases, insects and weeds in the field according to crop growth.
Unmanned harvesting operation: A yield meter installed on an unmanned harvester accurately collects information about the crop yield of the field farm during harvesting and maps the yield of the area. Make a planting plan for the next quarter, including the amount of fertilizer, pesticide, and irrigation. Automatic control can control the speed of the vehicle by monitoring the engine speed, working speed, wheel travel speed, etc., to achieve precise operation, so as to realize unmanned and precise operation of field harvesting.
Based on high-resolution satellite remote sensing data and UAV aerial photography data, combined with crop growth analysis model, the seedling emergence rate and seedling quality monitoring are realized, the seedling emergence rate statistics are carried out, and the seedlings are replenished in time. Daily real-time monitoring of crop growth, accurate judgment of different stages of crop growth, early detection of crop growth problems in the field, and better assessment of crop vitality at different growth stages, to achieve accurate management and save planting costs.
Plant protection drones acquire a large amount of information data through the information collection system such as sensors and cameras, and the cloud platform processes a large amount of information and analyzes it based on computer vision technology to find out the crop areas affected by pests and diseases. Plant protection spraying can locate the operation time and the location of agricultural machinery in real time, monitor the real-time spraying amount, and the total spraying amount of the current plot; Count the total spray amount, operation area/duration, real-time/historical trajectory playback of the current plot during a certain operation period, accurately monitor the quality of plant protection operations, and monitor leakage spraying, respraying, etc.
By installing insect and seedling monitoring Internet of Things equipment, real-time analysis and monitoring of crop growth status, analysis of the occurrence of diseases, insects and weeds in the field according to crop growth, timely reporting to the smart agricultural management platform, timely early warning of disasters, and handling by dispatching unmanned plant protection machines.
â—Cultivation and harvesting are used to alleviate the problem of rural labor shortage
â—Intelligent production testing system saves costs and increases efficiency by about 10%
â—Digital plot and planting planning to achieve accurate management
â—The air-space-ground integrated monitoring system realizes digital management
â—Integrated irrigation management system saves 20% fertilizer and 30% water