Potato Leaf Diseases Detection Using Deep Learning
作者： Trishita Acharjee , Sushanta Das , Swanirbhar Majumder , None
DOI: 10.1109/ICICCS48265.2020.9121067
关键词: Machine learning 、 Deep learning 、 Margin (machine learning) 、 Computer science 、 Transfer of learning 、 Artificial intelligence 、 Quality (business) 、 Feature extraction 、 Blight 、 Agricultural development 、 Manual interpretation
摘要: Diagnosis of plant diseases is the key to prevent crop loss as well as value of agricultural output. Studies of the crop disease means studies of visible patterns observed in the plant. Monitoring of health and plant disease detection is critical for the sustainable agriculture. It is very difficult to monitor and detect plant diseases by observing them accurately. In India, it is estimated at 15-25 percentage of crop production that may be lost due to diseases, for this work to take that issue seriously, our country not only needs to increase productivity but also …
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