DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-10,Issue-4 ( Apr, 2023 ) | |||||||||
Paper Title |
A Review on Leaf Disease Detection and Recognition Using DCNN | |||||||||
Author Name |
Sateesh Kumar Sahu, Anurag Sharma, Rupali Chandrakar | |||||||||
Affilition |
1Research Scholar, Department of computer Science and Engineering RSR Rungta College of Engineering and Technology, Bhilai, Chhattisgarh, India 2,3Assistant Professor, Department of computer Science and Engineering RSR Rungta College of Engineering and Technology, Bhilai, Chhattisgarh, India | |||||||||
Pages |
74-78 | |||||||||
Abstract |
The most important sector of our Economy is Agriculture. Various types of disease damage the plant leaves and effects the production of crop there for Leaf disease detection is important. Regular maintenance of plant leaves is the profit in agricultural products. Farmers do not expertise in leaf disease so they producing lack of production. Leaf disease detection is important because profit and loss depend on production. So that here use deep learning techniques to detect apple, grape, corn, potato, and tomato plant leaves diseases. Identification of the plant diseases is the key to preventing the losses in the yield and quantity of the agricultural product. The studies of the plant diseases mean the studies of visually observable patterns seen on the plant. Health monitoring and disease detection on plant is very critical for sustainable agriculture. Keyword - Agriculture, Health Monitoring, Crop, Leaf Disease Detection, Plant Leaves | |||||||||
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