A precise weeding method for lawn and grass based on cloud-based herbicide spectrum

Abstract

The invention relates to a method for precise weeding of lawns and forages based on cloud-based herbicide spectrum, comprising the following steps: establishing a deep learning model based on herbicide herbicide spectrum, identifying weed species based on herbicide herbicide spectrum; using the trained neural network The model is deployed to the cloud, and the 5G network is used to interact between the cloud and the weeding robot; an intelligent spraying decision-making system that can support multi-task parallelism is built, and early warning and manual intervention mechanisms are realized through multiple terminals. Based on the identification and spraying of the herbicidal spectrum, the present invention can effectively save herbicides and the weeding effect is more accurate and efficient. With the help of the computing power of the large cloud server and the high-speed data transmission of the 5G network, the performance of weed identification can be effectively improved, and multiple weeds can be processed at the same time. mission scene.

Description

technical field [0001] The invention relates to the field of precise weeding of lawns and pastures, in particular to a method for precise weeding of lawns and pastures based on a cloud-based herbicidal spectrum. Background technique [0002] Lawns are commonly found in public facilities such as park greening and stadiums. Lawn weed control is a key part of lawn maintenance. In our country, due to the invasion of weeds, lawns are often degraded or even abandoned within a few years. For pasture, weeding is more important because of its slow growth in the seedling stage, and the control of weeds seriously affects the quality of pasture. Herbicide-based chemical weed control is a common practice for weed control in lawns and pastures. Precise spraying of herbicides can effectively reduce the dosage of herbicides and reduce environmental pollution. Weed identification is the premise and key to precise weeding. In recent years, artificial intelligence technology related to de...

AI Technical Summary

Problems solved by technology

Herbicide spraying that does not differentiate herbicidal spectrum is not only a waste of herbicide, but also often futile

[0004] 2. The way of stand-alone deployment is limited by the computing power of the deployed terminal, and it is difficult to further improve the performance of the algorithm

[0005] 3. The update operation of the recognition model is cumbersome

[0006] 4. It is difficult to manually intervene in the weeding process; there is no intuitive collection and display medium for weed identification data and spraying results

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