caef084c-4fe7-42fc-8a69-f696d4af81a9 beie director@blueeyesintelligence.org 10.35940/ijrte.F5572.039621 10.1016/j.compag.2018.01.009Konstantinos P. Ferentinos, "Deep learning models for plant disease detection and diagnosis". Elsevier Journal in Computer and Electronics in Agriculture. (pp. 311-318). Elsevier, January (2018).10.1109/ICCUBEA.2018.8697390Omkar Kulkarni, "Crop Disease Detection using Deep Learning". 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA) 978-1-5386-5257-2/18. IEEE, (2018).10.1007/978-981-15-1384-8_16Parismita Bharali, Chandrika Bhuyan, Abhijit Boruah "Plant Disease Detection by Leaf Image Classification Using Convolutional Neural Network". Information, Communication and Computing Technology 4th International Conference, (ICICCT) CCIS 1025, pp. 194-205, Springer, May (2019).10.1007/978-981-15-2449-3_11Ankur Das, Chirantana Mallick and Soumi Dutta, "Deep Learning-Based Automated Feature Engineering for Rice Leaf Disease Prediction". Computational Intelligence in Pattern Recognition (CIPR), Advances in Intelligent Systems and Computing. ISSN 2194-5357, Springer, (2020).Ashraf Darwish, Dalia Ezzat and Aboul Ella Hassanien, "An Optimized Model based on Convolutional Neural Networks and Orthogonal Learning Particle Swarm Optimization Algorithm for Plant Diseases Diagnosis" Swarm and Evolutionary Computation BASE DATA, S2210-6502(19)30546-2, Elsevier, November (2019).10.1109/ICTC.2017.8190957Hyeon Park, Jee-Sook Eun, Se-Han Kim, "Image based disease diagnosing and predicting of the crops through deep learning mechanism". ICTC 2017, pp (5090-4032) IEEE, (2017)10.1080/08839514.2017.1315516Mohammed Brahimi, Kamel Boukhalfa, and Abdelouahab Moussaoui, "Deep Learning for Tomato Diseases: Classification and Symptoms Visualization". Applied Artificial Intelligence, vol:31no.4, pp (299-315), Taylor and Francis, May (2017).10.1109/ICCSP.2019.8698056Abirami Devaraj, Karunya Rathan, Sarvepalli Jaahnavi and K Indira, "Identification of Plant Disease using Image Processing Technique". International Conference on Communication and Signal Processing, April, pp (5386-7595), IEEE, April (2019)10.1109/GET.2016.7916653Shivani K. Tichkule, Prof. Dhanashri. H. Gawali, "Plant Diseases Detection Using Image Processing Techniques". 2016 Online International Conference on Green Engineering and Technologies (IC-GET). pp (5090-4556), IEEE (2016).10.1109/CSPA.2018.8368703Md. Selim Hossain, Rokeya Mumtahana Mou, Mohammed Mahedi Hasan, Sajib Chakraborty, M. Abdur Razzak, "Recognition and Detection of Tea Leaf's Diseases Using Support Vector Machine ''. IEEE 14th International Colloquium on Signal Processing & its Applications (CSPA 2018), pp (5386-0389), IEEE, March (2018).D. O. Shamkuwar, Gaurav Thakre, Amol R. More, Kishor S. Gajakosh, Muktanand O. Yewale, "An Expert System for Plant Disease Diagnosis by using Neural Network". International Research Journal of Engineering and Technology (IRJET), pp (369-371), vol.5 issue.4, IRJET April (2018).10.1016/j.compag.2019.105146Yong Zhong, Ming Zhao, "Research on deep learning in apple leaf disease recognition". Journal in Computers and Electronics in Agriculture, pp (0168-1699), Elsevier, December (2019).10.1007/s12539-019-00351-wPeng Zhang, Jun Meng, Yushi Luan, Chanjuan Liu, "Plant miRNA-lncRNA Interaction Prediction with the Ensemble of CNN and IndRNN". Interdisciplinary Sciences: Computational Life Sciences (2020). vol.12 pp (82-89), Springer, December (2019).10.1007/978-3-319-95933-7_2Qingxin Xiao, Weilu Li, Peng Chen, and Bing Wang, "Prediction of Crop Pests and Diseases in Cotton by Long Short-Term Memory Network". ICIC 2018, LNCS 10955, pp (11-16), Springer (2018).10.1007/s12652-019-01591-wMuammer Turkoglu1, Davut Hanbay, Abdulkadir Sengur, 'Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests' Journal of Ambient Intelligence and Humanized Computing, Springer (2019).PlantVillage Dataset - spMohanty's GitHub Repo.https://github.com/spMohanty