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Journal of Statistics and Management Systems Volume 23, 2020 - Issue 6: Intelligent Decision Making using Best Practices of Big Data Technologies (Part-I)
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Articles

Application of extreme learning machine in plant disease prediction for highly imbalanced dataset

Anshul Bhatiaa University School of Information, Communication & Technology, Guru Gobind Singh Indraprastha University, Dwarka, Sector-16 C, New Delhi110078, IndiaCorrespondence[email protected]
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Anuradha Chugb University School of Information, Communication & Technology, Guru Gobind Singh Indraprastha University, Dwarka, Sector-16 C, New Delhi110078, India E-mail: [email protected]
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Amit Prakash Singhc University School of Information, Communication & Technology, Guru Gobind Singh Indraprastha University, Dwarka, Sector-16 C, New Delhi110078, India E-mail: [email protected]
Pages 1059-1068 | Published online: 29 Jul 2020

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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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Articles from other publishers (18)

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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Mihaela Hnatiuc, Bogdan-Cristian Savin & Ionica Dina. (2022) Comparison between Environmental Condition Parameters and Attack Degree of Vine using IoT Sensors System. Comparison between Environmental Condition Parameters and Attack Degree of Vine using IoT Sensors System.
Adnan Khan, Amjad Ali, Naveed Islam, Sadaf Manzoor, Hassan Zeb, Muhammad Azeem & Shumaila Ihtesham. (2022) Robust Extreme Learning Machine Using New Activation and Loss Functions Based on M-Estimation for Regression and Classification. Scientific Programming 2022, pages 1-10.
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Andhavaram Mohan Sai & Nagamma Patil. (2022) Comparative Analysis of Machine Learning Algorithms for Disease Detection in Apple Leaves. Comparative Analysis of Machine Learning Algorithms for Disease Detection in Apple Leaves.
Kyung-Tae Lee, Juhyeong Han & Kwang-Hyung Kim. (2022) Optimizing Artificial Neural Network-Based Models to Predict Rice Blast Epidemics in Korea. The Plant Pathology Journal 38:4, pages 395-402.
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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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Shoby Sunny & M P Indra Gandhi. (2022) Identification and Classification of Leaf Diseases Using Modified Contrast Limited AHE and Extreme Learning Machine. Identification and Classification of Leaf Diseases Using Modified Contrast Limited AHE and Extreme Learning Machine.
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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Raj Kumar, Neha Shukla & Princee. (2022) Plant Disease Detection and Crop Recommendation Using CNN and Machine Learning. Plant Disease Detection and Crop Recommendation Using CNN and Machine Learning.
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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Kaige Liu, Chunhao Zhang, Xinting Yang, Ming Diao, Huiying Liu & Ming Li. (2022) Development of an Occurrence Prediction Model for Cucumber Downy Mildew in Solar Greenhouses Based on Long Short-Term Memory Neural Network. Agronomy 12:2, pages 442.
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Anshul Bhatia, Anuradha Chug, Amit Prakash Singh, Ravinder Pal Singh & Dinesh Singh. 2022. Proceedings of Second Doctoral Symposium on Computational Intelligence. Proceedings of Second Doctoral Symposium on Computational Intelligence 509 520 .
Tanishq Varshney, Anuradha Chug & Amit Prakash Singh. (2021) Deep Learning Models for Prediction of Tomato Powdery Mildew Disease. Deep Learning Models for Prediction of Tomato Powdery Mildew Disease.
Sonal Jain & Dharavath Ramesh. (2021) AI based hybrid CNN-LSTM model for crop disease prediction: An ML advent for rice crop. AI based hybrid CNN-LSTM model for crop disease prediction: An ML advent for rice crop.
Tan Soo Xian & Ruzelita Ngadiran. (2021) Plant Diseases Classification using Machine Learning. Journal of Physics: Conference Series 1962:1, pages 012024.
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Lefteris Benos, Aristotelis C. Tagarakis, Georgios Dolias, Remigio Berruto, Dimitrios Kateris & Dionysis Bochtis. (2021) Machine Learning in Agriculture: A Comprehensive Updated Review. Sensors 21:11, pages 3758.
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Shikha Gupta & Anuradha Chug. (2021) An Optimized Extreme Learning Machine Algorithm for Improving Software Maintainability Prediction. An Optimized Extreme Learning Machine Algorithm for Improving Software Maintainability Prediction.
Gianni Fenu & Francesca Maridina Malloci. (2021) Forecasting Plant and Crop Disease: An Explorative Study on Current Algorithms. Big Data and Cognitive Computing 5:1, pages 2.
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