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Nikita Sareen, Anuradha Chug & Amit Prakash Singh. (2022) An image based prediction system for early blight disease in tomato plants using deep learning algorithm. Journal of Information and Optimization Sciences 43:4, pages 761-779.
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Ashok Kumar Saini, Roheet Bhatnagar & Devesh Kumar Srivastava. (2021) AI based automatic detection of citrus fruit and leaves diseases using deep neural network model. Journal of Discrete Mathematical Sciences and Cryptography 24:8, pages 2181-2193.
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Anshul Bhatia, Anuradha Chug & Amit Prakash Singh. (2020) Application of extreme learning machine in plant disease prediction for highly imbalanced dataset. Journal of Statistics and Management Systems 23:6, pages 1059-1068.
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Articles from other publishers (43)
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Anshul Bhatia, Anuradha Chug, Amit Prakash Singh & Dinesh Singh. (2022) Fractional mega trend diffusion function-based feature extraction for plant disease prediction. International Journal of Machine Learning and Cybernetics 14:1, pages 187-212.
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Ankita Gangwar, Vijaypal Singh Dhaka & Geeta Rani. 2023. Proceedings of International Conference on Communication and Computational Technologies. Proceedings of International Conference on Communication and Computational Technologies
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Lukesh Parida, Sumedha Moharana, Victor M. Ferreira, Sourav Kumar Giri & Guilherme Ascensão. (2022) A Novel CNN-LSTM Hybrid Model for Prediction of Electro-Mechanical Impedance Signal Based Bond Strength Monitoring. Sensors 22:24, pages 9920.
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Dilara GERDAN, Caner KOÇ & Mustafa VATANDAŞ. (2022) Diagnosis of Tomato Plant Diseases Using Pre-Trained Architectures and A Proposed Convolutional Neural Network Model. Tarım Bilimleri Dergisi.
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Birkan Buyukarikan & Erkan Ulker. (2022) Classification of physiological disorders in apples fruit using a hybrid model based on convolutional neural network and machine learning methods. Neural Computing and Applications 34:19, pages 16973-16988.
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Guowei Dai, Lin Hu & Jingchao Fan. (2022) DA-ActNN-YOLOV5: Hybrid YOLO v5 Model with Data Augmentation and Activation of Compression Mechanism for Potato Disease Identification. Computational Intelligence and Neuroscience 2022, pages 1-16.
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Antonios Morellos, Xanthoula Eirini Pantazi, Charalampos Paraskevas & Dimitrios Moshou. (2022) Comparison of Deep Neural Networks in Detecting Field Grapevine Diseases Using Transfer Learning. Remote Sensing 14:18, pages 4648.
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Yanhong LIU, Hua YANG, Xindong GUO, Yanwen LI, Zhiwei HU, Yiming HOU & Hongxia SONG. (2022) FINE-GRAINED TOMATO DISEASE RECOGNITION BASED ON DEEP CONVOLUTIONAL NETWORK. INMATEH Agricultural Engineering, pages 182-190.
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Raj Kumar, Anuradha Chug, Amit Prakash Singh & Dinesh Singh. (2022) A Systematic Analysis of Machine Learning and Deep Learning Based Approaches for Plant Leaf Disease Classification: A Review. Journal of Sensors 2022, pages 1-13.
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Normaisharah Mamat, Mohd Fauzi Othman, Rawad Abdoulghafor, Samir Brahim Belhaouari, Normahira Mamat & Shamsul Faisal Mohd Hussein. (2022) Advanced Technology in Agriculture Industry by Implementing Image Annotation Technique and Deep Learning Approach: A Review. Agriculture 12:7, pages 1033.
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Anshul Bhatia, Anuradha Chug, Amit Prakash Singh & Dinesh Singh. (2022) A hybrid approach for noise reduction-based optimal classifier using genetic algorithm: A case study in plant disease prediction. Intelligent Data Analysis 26:4, pages 1023-1049.
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Valerio Cirillo, Donata Molisso, Anna Maria Aprile, Albino Maggio & Rosa Rao. (2022) Systemin peptide application improves tomato salt stress tolerance and reveals common adaptation mechanisms to biotic and abiotic stress in plants. Environmental and Experimental Botany 199, pages 104865.
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Raj Kumar, Dinesh Singh, Anuradha Chug & Amit Prakash Singh. (2022) Evaluation of Deep learning based Resnet-50 for Plant Disease Classification with Stability Analysis. Evaluation of Deep learning based Resnet-50 for Plant Disease Classification with Stability Analysis.
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Hsing-Chung Chen, Agung Mulyo Widodo, Andika Wisnujati, Mosiur Rahaman, Jerry Chun-Wei Lin, Liukui Chen & Chien-Erh Weng. (2022) AlexNet Convolutional Neural Network for Disease Detection and Classification of Tomato Leaf. Electronics 11:6, pages 951.
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Anshul Bhatia, Anuradha Chug, Amit Prakash Singh, Ravinder Pal Singh & Dinesh Singh. (2021) A machine learning-based spray prediction model for tomato powdery mildew disease. Indian Phytopathology 75:1, pages 225-230.
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Sandhya Venu Vasantha, Shirina Samreen & Yelganamoni Lakshmi Aparna. (2022) Rice Disease Diagnosis System (RDDS). Computers, Materials & Continua 73:1, pages 1895-1914.
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Yun Zhao, Jiagui Chen, Xing Xu, Jingsheng Lei & Wujie Zhou. (2021) SEV‐Net: Residual network embedded with attention mechanism for plant disease severity detection. Concurrency and Computation: Practice and Experience 33:10.
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Shuo Chen, Kefei Zhang, Yindi Zhao, Yaqin Sun, Wei Ban, Yu Chen, Huifu Zhuang, Xuewei Zhang, Jinxiang Liu & Tao Yang. (2021) An Approach for Rice Bacterial Leaf Streak Disease Segmentation and Disease Severity Estimation. Agriculture 11:5, pages 420.
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S. Nandhini & K. Ashokkumar. (2021) Improved crossover based monarch butterfly optimization for tomato leaf disease classification using convolutional neural network. Multimedia Tools and Applications 80:12, pages 18583-18610.
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S Mohana Saranya, R R Rajalaxmi, R Prabavathi, T Suganya, S Mohanapriya & T Tamilselvi. (2021) Deep Learning Techniques in Tomato Plant – A Review. Journal of Physics: Conference Series 1767:1, pages 012010.
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K Dokic, L Blaskovic & D Mandusic. (2020) From machine learning to deep learning in agriculture – the quantitative review of trends. IOP Conference Series: Earth and Environmental Science 614, pages 012138.
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