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NTIS 바로가기International journal of computer science and network security : IJCSNS, v.23 no.6, 2023년, pp.115 - 120
K. Anitha (Department of ECE, Prasad V Potluri Siddhartha Institute of Technology) , M.Srinivasa Rao (Department of ECE, Prasad V Potluri Siddhartha Institute of Technology)
Plant leaf diseases and destructive insects are major challenges that affect the agriculture production of the country. Accurate and fast prediction of leaf diseases in crops could help to build-up a suitable treatment technique while considerably reducing the economic and crop losses. In this paper...
Plant disease detection using CNNs and GANs as an?augmentive approach, Rutu Gandhi, Subham?Nimbalkar, IEEE 2018.
Deep Convolutional Neural Network for Tomato?Diseases Detection Endang Suryawati, Research?Center for Informatics, Research Center for?Electronics and Telecommunications Indonesian?Institute of Sciences, Bandung, Indonesia, IEEE 2018.
Detection and classification of diseases of grape plant?using opposite color local binary pattern feature and?Machine learning for automated decision support?system, IEEE 2016.
An effective Segmentation Algorithm of apple?watercore disease region using convolutional neural?networks, IEEE 2017.
Classification of Leaf disease using Texture Feature?and Neural Network Classifier. Neha G. Kurale?Madhav V. Vaidya Department of Information?Technology, Department of Information Technology?SGGS IE&T, Nanded, India, SGGS IE&T, Nanded,?India, IEEE 2018.
https://www.agrifarming.in/tomato-cultivation/pestdetection
Plant disease prediction using image processing and?machine learning techniques-Hailey beyene (Phd?scholar),Dr Narayan(Dean and Director)
Detection and classification of plant leaf diseases by?using Deep learning algorithms- P.Deepan
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