Cotton Leaf Disease Detection Using Instance Segmentation
نویسندگان
چکیده
Cotton is one of the most important cash and fiber crops in India. Agricultural machine learning plays a very role this agricultural industry. In paper, use an object detection algorithm namely Mask RCNN along with transfer experimented to find out if it fit detect cotton leaf diseases practical situations. The model training accuracy found as 94 % whereas total loss value continuously decreasing number optimize iterations are increasing.
منابع مشابه
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ژورنال
عنوان ژورنال: Journal of Cases on Information Technology
سال: 2022
ISSN: ['1548-7717', '1548-7725']
DOI: https://doi.org/10.4018/jcit.296721