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Design, Development, Integration and Field Evaluation of a Dual Robotic Arm Mango Harvesting Robot
References , , , and . 2023. “Clustered Tomato Detection and Picking Point Location Using Machine Learning-Aided Image Analysis for Automatic Robotic Harvesting.” Precision Agriculture 24, no. 2: 727–743. https://doi.org/10.1007/s11119-022-09972-6. , , , and . 2020. “Work Distribution of Multiple Cartesian Robot Arms for Kiwifruit Harvesting.” Computers and Electronics in Agriculture 169: 105202. https://doi.org/10.1016/j.compag.2019.105202. , , , , , and . 2022.
Recognition of Rubber Tree Powdery Mildew Based on UAV Remote Sensing with Different Spatial Resolutions
3. Results 3.1. Correlation Analysis of Spectral Features and Texture Features In order to determine the relationship of spectral and textural features extracted from UAV multispectral images with PM, the feature parameters (22 VIs and 40 TFs) were correlated with PM, as shown in Figure 5 and Figure 6.
Dense Papaya Target Detection in Natural Environment Based on Improved YOLOv5s
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by 1, 2, 1,2, 2, 1,* and 2,* 1 College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China 2 Mechanical and Electrical Engineering College, Hainan University, Haikou 570228, China * Authors to whom correspondence should be addressed.
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