Automated System for Comprehensive Plant Disease Analysis
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8684-2_4
Reference72 articles.
1. Afzaal U, Bhattarai B, Pandeya YR, Lee J (2021) An instance segmentation model for strawberry diseases based on mask R-CNN. Sensors 21(19):6565. https://www.mdpi.com/1424-8220/21/19/6565
2. Ahmad N, Asif HM, Saleem G, Younus MU, Anwar S, Anjum MR (2021) Leaf image-based plant disease identification using color and texture features. Wireless Personal Commun 121(2):1139–1168. ArXiv abs/2102.04515
3. Ali H, Lali M, Nawaz M, Sharif M, Saleem B (2017) Symptom based automated detection of citrus diseases using color histogram and textural descriptors. Comput Electron Agric 138:92–104
4. Arsenovic M, Karanovic M, Sladojevic S, Anderla A, Stefanovic D (2019) Solving current limitations of deep learning based approaches for plant disease detection. Symmetry 11(7):939
5. Atila U, Uçar M, Akyol K, Uçar E (2021) Plant leaf disease classification using efficient net deep learning model. Ecol Inform 61:101182
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