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Editorial: Precise chemical application technology for horticultural crops
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Editorial: Precise chemical application technology for horticultural crops
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Editorial: Precise chemical application technology for horticultural crops
Editorial: Precise chemical application technology for horticultural crops
Journal Article

Editorial: Precise chemical application technology for horticultural crops

2024
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Overview
Furthermore, this model exhibited faster convergence rate, superior classification balance, and enhanced generalization capability compared to other methods available in literature; thus, providing a more reliable basis for decision-making regarding precise application of biological and chemical control strategies in citrus production.The dataset created by Lyu et al. consists of images capturing citrus psyllids in their natural habitats, and they proposed a lightweight detection model based on spatial channel interaction. Variable-rate automated spraying systems The variable-rate automated spraying technology for pesticides plays a vital role in achieving accurate pesticide application by gathering data on factors including pest severity, crop canopy morphology and density (Tumbo et al, 2007). In terms of positioning, the real-time position was determined through a reliable method of fusing multiple sensors for positioning, which involves transforming the RTK information into the initial position and doing a normal distribution transformation between the current frame point cloud and the scaffold reference point cloud to match the point cloud position. Additionally, the average maximum void length was measured at 0.124m while the average relative localization errors at speeds of 0.2 m/s, 0.4 m/s, and 0.6 m/s were found to be 0.026 m, 0.029 m, and 0.046 m respectively; all with standard deviations less than or equal to 0.06 m. The proposed algorithm reduced average localization error by approximately79 .9% when compared to track deduction algorithms. [...]it can be concluded that even in low-density canopy environments within greenhouses, the AF-PCP SLAM algorithm is capable of precisely mapping and localizing robots.