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Multiple application scenarios solve the problems of high cost, difficulty and low efficiency of cash crop management for agricultural practitioners.
Real-time growth monitoring to reduce the risk of production reduction. Multispectral acquisition of crop growth, judgment of crop health status through NDVI value, remote grasp of crop growth, help growers quickly detect diseases and pests, and take timely control measures.
Fruit tree mode helps to achieve fully autonomous and precise application of fruit trees. The planting environment of cash crops is relatively complex, and the fruit tree mode supports fixed-point spraying, continuous spraying, and different spraying modes can be selected for fruit trees of different ages, effectively reducing pesticide waste and improving the control effect and efficiency.
Artificial intelligence helps orchard management and saves labor costs. After collecting the geographical information of the orchard and making a two-dimensional map of the orchard, it can automatically and quickly identify fruit trees, count fruit trees and trees, and calculate the area of orchards.
Comprehensive coverage of major cash crops around the world, such as tea, citrus, apples, cherries, cotton, sugar cane, etc.
The process is simple, the operation is intelligent, and it is easy to learn, which is convenient for agricultural practitioners to quickly grasp the food crop solution and quickly enter the practical application.
Recommended scenario: Suitable for small and medium-sized plot spreading/spraying operations.
Recommended scenarios: It is suitable for large-scale unified defense and large-scale continuous land operations.