Computer Vision-Based Fruit Disease Detection and Classification
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-13-2414-7_11
Reference18 articles.
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2. Ashok A., Vinod, D.S.: A comparative study of feature extraction methods in defect classification of mangoes using neural network. In: 2016 Second International Conference on Cognitive Computing and Information Processing (CCIP), Mysore, pp. 1–6 (2016)
3. India Rank in Agriculture. http://www.apeda.gov.in/apedawebsite/six_head_product/FFV.htm
4. Bhargava, K., Kashyap A., Gonsalves, T.A.: Wireless sensor network based advisory system for Apple Scab prevention. In: 2014 Twentieth National Conference on Communications (NCC), Kanpur, pp. 1–6 (2014)
5. Awate, A., Deshmankar, D., Amrutkar, G., Bagul, U., Sonavane, S.: Fruit disease detection using color, texture analysis and ANN. In: 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), Noida, pp. 970–975 (2015)
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