Development of health monitoring method for pecan nut trees using side video data and computer vision
نویسندگان
چکیده
Abstract Increasing efficiency and productivity in the field of agriculture is important to provide sufficient food world’s increasing population. It monitor crops using image processing order realize these increases productivity. In with high quality accuracy, resolution images are needed. this research, a crop monitoring method for pecan nut trees was developed high-resolution video taken from side vehicle. First, were extracted by applying an object detection model data. Second, divided into canopy trunk areas. Finally, labels made experts as input, convolutional neural network (CNN) trained classify unhealthy healthy trees. The achieved area under curve classification over 0.95. Gradient-weighted Class Activation Mapping (Grad-CAM) also applied purpose evaluation, it clarified that focusing on hollow features when performing its classification.
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ژورنال
عنوان ژورنال: Optical Review
سال: 2021
ISSN: ['1349-9432', '1340-6000']
DOI: https://doi.org/10.1007/s10043-021-00694-0