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Articles

Pattern recognition method to detect two diseases in rice plants

Pages 319-325 | Published online: 18 Jul 2013

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Mohammad Malek Faizal Azizi & Han Yih Lau. (2022) Advanced diagnostic approaches developed for the global menace of rice diseases: a review. Canadian Journal of Plant Pathology 44:5, pages 627-651.
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A. K. Chakrabarti, P. Sanyal, P. Hazra & S. K. Bandyopadhyay. (2010) Variety Identification of Tomato by Electrophoregram of Seed Protein and Comparison of Digitally Processed SEM Images of Stomata. International Journal of Vegetable Science 16:4, pages 326-334.
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Md Taimur Ahad, Yan Li, Bo Song & Touhid Bhuiyan. (2023) Comparison of CNN-based deep learning architectures for rice diseases classification. Artificial Intelligence in Agriculture 9, pages 22-35.
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Changjian Zhou, Yujie Zhong, Sihan Zhou, Jia Song & Wensheng Xiang. (2023) Rice leaf disease identification by residual-distilled transformer. Engineering Applications of Artificial Intelligence 121, pages 106020.
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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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Dr. Tukaram Chavan, Dr. D. B. Lokhande & Prof. D. P. Patil. (2022) Rice Leaf Disease Detection using Machine Learning. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, pages 575-583.
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Rakesh Meena, Sunil Joshi & Sandeep Raghuwanshi. (2022) Detection of Varieties of Diseases in Rice Plants using Deep Learning Techniques. Detection of Varieties of Diseases in Rice Plants using Deep Learning Techniques.
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Arshiya S. Ansari, Malik Jawarneh, Mahyudin Ritonga, Pragti Jamwal, Mohammad Sajid Mohammadi, Ravi Kishore Veluri, Virendra Kumar & Mohd Asif Shah. (2022) Improved Support Vector Machine and Image Processing Enabled Methodology for Detection and Classification of Grape Leaf Disease. Journal of Food Quality 2022, pages 1-6.
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Santosh Kumar Upadhyay & Avadhesh Kumar. (2022) An Accurate and Automated plant disease detection system using transfer learning based Inception V3Model. An Accurate and Automated plant disease detection system using transfer learning based Inception V3Model.
R. Manavalan. (2022) Towards Highly Intelligent Image Processing Techniques for Rice Diseases Identification: A Review. Current Chinese Computer Science 2:1.
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Nouh Sabri Elmitwally, Maria Tariq, Muhammad Adnan Khan, Munir Ahmad, Sagheer Abbas & Fahad Mazaed Alotaibi. (2022) Rice Leaves Disease Diagnose Empowered with Transfer Learning. Computer Systems Science and Engineering 42:3, pages 1001-1014.
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