High Efficiency Photovoltaic Irrigation System Based on Visual Recognition
Desertification control in Northwest China is a major ecological restoration project.The key to ecological restoration is how to develop low-energy water-saving irrigation technology in view of the shortage of water resources in Northwest China,abundant light resources,but frequent windy days and other characteristics,which is also an important measure to promote the national"double carbon"work.Efficient photovoltaic power generation module needs to realize the maximum power tracking of the apparent day in the control,in addition,considering the problem that the equipment is vul-nerable to severe weather damage,but also need to realize the self-protection of the equipment,which brings difficulty to the control scheme of the equipment.Therefore,this paper proposes a dual-axis visual day tracking device optimized by MPPT algorithm,which not only realizes the maximum power tracking,but also gives consideration to the wind self-protec-tion ability.For precision irrigation and water-saving irrigation,this paper proposes a visual recognition technology based on template matching and clustering algorithm to achieve intelligent and less human vegetation operations.