High-efficiency and low-loss generation method and system based on combined harvesting of forage grass seeds
By performing feature extraction and analysis of historical growth data on forage images, the maturity time of forage seeds is predicted and a combined harvesting strategy is generated, which solves the problems of low harvest efficiency and large loss of forage seeds in the prior art, and achieves efficient and low-loss forage seed harvesting.
CN119693803APending Publication Date: 2025-03-25INSTITUTE OF GRASSLAND RESEARCH OF CAAS +1
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Patent Information
- Application Number
- CN202411930217.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-26
- Publication Date
- 2025-03-25
AI Technical Summary
Technical Problem
The existing forage seeds are inefficient and have large losses during harvesting, and it is impossible to effectively identify and distinguish immature and mature forage seeds, resulting in threshing and mechanical damage.
Method used
By obtaining forage images for feature extraction, and combining the growth data of historical forage forage forage forage forage forage forage forage seeds forage forage seeds forage, a combined harvesting strategy was generated based on maturity time.
Benefits of technology
Improve the efficiency of forage seed harvesting, reduce losses, and avoid yield losses caused by premature or late harvesting.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention relates to an artificial intelligence technology, and discloses a high-efficiency and low-loss generation method and system based on combined harvesting of forage grass seeds, and the method comprises the steps: obtaining a forage grass image, and carrying out the feature extraction of the forage grass image, and obtaining the features of the forage grass; acquiring growth condition data of historical forage grass, and performing time curve analysis according to the data to obtain a growth curve; utilizing a growth curve to carry out maturation characteristic time prediction on the forage grass characteristics to obtain maturation time; and generating a forage grass seed combined harvesting strategy according to the maturation time. The problems of low efficiency and large loss in the existing forage grass seed harvesting process can be solved.
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