Classification and Prediction of Kashmiri Apple Plant by using Deep Learning Techniques
2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT)(2023)
摘要
"Apple" proudly reflects Kashmir's fruit sector, which accounts for around 88 percent of the valley's overall fruit production. It forms the foundation of the Shopian district's economy in the Kashmir valley. Several factors, including the illness spread across the crops, have sadly prevented a considerable expansion in this industry's production over the past few years. India is an agricultural nation, and it is an important issue for the prompt detection of diseases among plants. Apple growers will be able to take the necessary actions or safeguards to protect the fruits from contamination if apple trees are discovered early. It takes a lot of time and effort to predict apple plant diseases using manual or traditional methods, which also requires providing lab diagnoses. But this is where the new technology comes into play; because of the development of machine learning and deep learning, it is now feasible to rapidly and accurately assess whether a plant is infected or not.
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关键词
Convolutional Neural Network,Pooling,Apple Disease
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