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Original Articles

Deep Learning for Tomato Diseases: Classification and Symptoms Visualization

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R. Dhanalakshmi, Balakrishnan K, Bam Bahadur Sinha & R. Gopalakrishnan. (2023) Tomato leaf disease identification by modified inception based sequential convolution neural networks. The Imaging Science Journal 71:5, pages 408-424.
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Rabbia Mahum, Haris Munir, Zaib-Un-Nisa Mughal, Muhammad Awais, Falak Sher Khan, Muhammad Saqlain, Saipunidzam Mahamad & Iskander Tlili. (2023) A novel framework for potato leaf disease detection using an efficient deep learning model. Human and Ecological Risk Assessment: An International Journal 29:2, pages 303-326.
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Lincoln Vinicius Schreiber, João Gustavo Atkinson Amorim, Leticia Guimarães, Debora Motta Matos, Celso Maciel da Costa & Adriane Parraga. (2022) Above-ground Biomass Wheat Estimation: Deep Learning with UAV-based RGB Images. Applied Artificial Intelligence 36:1.
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Xiangyan Meng, Xiaole Tian, Qiufeng Wu, Yiping Chen, Jinchao Pan & Yan Hang. (2022) Meta-baseline based on deep neuro-fuzzy network for few-shot plant leaf fungal diseases recognition. The Imaging Science Journal 70:3, pages 168-180.
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Loyani K. Loyani, Karen Bradshaw & Dina Machuve. (2021) Segmentation of Tuta Absoluta’s Damage on Tomato Plants: A Computer Vision Approach. Applied Artificial Intelligence 35:14, pages 1107-1127.
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Qingyang Xu, Wanqiang Zheng, Xiaoxiao Liu & Punan Jing. (2020) Deep Learning Technique Based Surveillance Video Analysis for the Store. Applied Artificial Intelligence 34:14, pages 1055-1073.
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Gayatri Pattnaik, Vimal K. Shrivastava & K. Parvathi. (2020) Transfer Learning-Based Framework for Classification of Pest in Tomato Plants. Applied Artificial Intelligence 34:13, pages 981-993.
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Krishnaswamy Rangarajan Aravind  & Purushothaman Raja. (2020) Automated disease classification in (Selected) agricultural crops using transfer learning. Automatika 61:2, pages 260-272.
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Shradha Verma, Anuradha Chug & Amit Prakash Singh. (2020) Exploring capsule networks for disease classification in plants. Journal of Statistics and Management Systems 23:2, pages 307-315.
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Priyanka Sahu, Anuradha Chug & Amit Prakash Singh. (2023) Crop leaf disease detection for beans using ensembled-convolutional neural networks. International Journal of Food Engineering 19:11, pages 521-537.
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Nikolaos Giakoumoglou, Eleftheria-Maria Pechlivani, Nikolaos Frangakis & Dimitrios Tzovaras. (2023) Enhancing Tuta absoluta Detection on Tomato Plants: Ensemble Techniques and Deep Learning. AI 4:4, pages 996-1009.
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Praveen Kumar Nalli, M. Venkata Subbarao, Durga Prasad Garapati, Swaroop K P, R. Priyakanth & G Prasanna Kumar. (2023) Performance Analysis of Pre-Trained Deep Learning Architectures for Classification of Corn Leaf Diseases. Performance Analysis of Pre-Trained Deep Learning Architectures for Classification of Corn Leaf Diseases.
Manjunatha Badiger & Jose Alex Mathew. (2023) Tomato plant leaf disease segmentation and multiclass disease detection using hybrid optimization enabled deep learning. Journal of Biotechnology 374, pages 101-113.
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Jiapeng QU, Dong XU, Xiaohui HU, Ruihong TAN & Guotian HU. (2023) DETECTION METHOD OF TOMATO LEAF DISEASES BASED ON IMPROVED ATTENTION MECHANISM. INMATEH Agricultural Engineering, pages 615-625.
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Xiaotian Wang & Weiqun Cao. (2023) GACN: Generative Adversarial Classified Network for Balancing Plant Disease Dataset and Plant Disease Recognition. Sensors 23:15, pages 6844.
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Xiuman Liang, Shaopin Gao & Zhendong Liu. (2023) Lightweight CNN model for apple leaf disease identification. Lightweight CNN model for apple leaf disease identification.
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Md. Iqbal Hossain, Sohely Jahan, Md. Rashid Al Asif, Md. Samsuddoha & Kawsar Ahmed. (2023) Detecting Tomato Leaf Diseases by Image Processing through Deep Convolutional Neural Networks. Smart Agricultural Technology, pages 100301.
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Kakarla Deepti. (2023) Comparative Analysis of Machine Learning Techniques for Plant Disease Detection-Data Deployment. Journal of The Institution of Engineers (India): Series B 104:4, pages 837-849.
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Kushwant Kaur, Rishabh Sharma, Anuj Kumar Jain, Vikrant Sharma & Vinay Kukreja. (2023) Combining CNN and LSTM for Precise Detection and Classification of Tomato Speck Disease. Combining CNN and LSTM for Precise Detection and Classification of Tomato Speck Disease.
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