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

Journal of statistics & management systems, 2020-08, Vol.23 (6), p.1059-1068

2020

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A Systematic Literature Review of Machine Learning Techniques Deployed in Agriculture: A Case Study of Banana Crop

IEEE access, 2022, Vol.10, p.87333-87360

2022

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Implementation of decision tree algorithm on FPGA devices

IAES international journal of artificial intelligence, 2021-03, Vol.10 (1), p.131

2021

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Proceedings of ICETIT 2019: Emerging Trends in Information Technology

1st ed. 2020., 2019

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A novel framework for image-based plant disease detection using hybrid deep learning approach

Soft computing (Berlin, Germany), 2023-09, Vol.27 (18), p.13613-13638

2023

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Revisiting activation functions: empirical evaluation for image understanding and classification

Multimedia tools and applications, 2024-02, Vol.83 (6), p.18497-18536

2024

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Processing and optimized learning for improved classification of categorical plant disease datasets

Intelligent data analysis, 2024-03, p.1-25

2024

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Potato disease prediction using machine learning, image processing and IoT - a systematic literature survey

Journal of crop improvement, 2024-03, Vol.38 (2), p.95-137

2024

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Application of convolutional neural networks for evaluation of disease severity in tomato plant

Journal of discrete mathematical sciences & cryptography, 2020-01, Vol.23 (1), p.273-282

2020

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Classification of Beans Leaf Diseases using Fine Tuned CNN Model

Procedia computer science, 2023, Vol.218, p.348-356

2023

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Classification of PASCAL Dataset Using Local Features and Neural Network

Applications of Artificial Intelligence Techniques in Engineering, 2019, Vol.697, p.389-400

2019

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Enhancement of Neural Network Performance with the Use of Two Novel Activation Functions: modExp and modExpm

Optical memory & neural networks, 2024-09, Vol.33 (3), p.286-301

2024

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Adaptive Disease Detection Algorithm Using Hybrid CNN Model for Plant Leaves

Optical memory & neural networks, 2024-09, Vol.33 (3), p.355-372

2024

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Crop leaf disease detection for beans using ensembled-convolutional neural networks

International journal of food engineering, 2023-11, Vol.19 (11), p.521-537

2023

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Classification of crop leaf diseases using image to image translation with deep-dream

Multimedia tools and applications, 2023-09, Vol.82 (23), p.35585-35619

2023

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Exploring capsule networks for disease classification in plants

Journal of statistics & management systems, 2020-02, Vol.23 (2), p.307-315

2020

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A Systematic Analysis of Machine Learning and Deep Learning Based Approaches for Plant Leaf Disease Classification: A Review

Journal of sensors, 2022-07, Vol.2022, p.1-13

2022

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PDS-MCNet: a hybrid framework using MobileNetV2 with SiLU6 activation function and capsule networks for disease severity estimation in plants

Neural computing & applications, 2023-09, Vol.35 (25), p.18641-18664

2023

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Novel fuzzy clustering-based undersampling framework for class imbalance problem

International journal of system assurance engineering and management, 2023-06, Vol.14 (3), p.967-976

2023

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A Study on Different hardware and Cloud based Internet of Things Platforms

Journal of physics. Conference series, 2021-05, Vol.1916 (1), p.12055

2021

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An image based prediction system for early blight disease in tomato plants using deep learning algorithm

Journal of information & optimization sciences, 2022-05, Vol.43 (4), p.761-779

2022

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Statistical analysis of machine learning techniques for predicting powdery mildew disease in tomato plants

International Journal of Intelligent Engineering Informatics, 2021, Vol.9 (1), p.24

2021

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Fractional mega trend diffusion function-based feature extraction for plant disease prediction

International journal of machine learning and cybernetics, 2023, Vol.14 (1), p.187-212

2023

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A hybrid approach for noise reduction-based optimal classifier using genetic algorithm: A case study in plant disease prediction

Intelligent data analysis, 2022-01, Vol.26 (4), p.1023-1049

2022

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Impact of reduction in descriptor size on object detection and classification

Multimedia tools and applications, 2019-04, Vol.78 (7), p.8965-8979

2019

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

A Systematic Literature Review of Machine Learning Techniques Deployed in Agriculture: A Case Study of Banana Crop

Implementation of decision tree algorithm on FPGA devices

Proceedings of ICETIT 2019: Emerging Trends in Information Technology

A novel framework for image-based plant disease detection using hybrid deep learning approach

Revisiting activation functions: empirical evaluation for image understanding and classification

Processing and optimized learning for improved classification of categorical plant disease datasets

Potato disease prediction using machine learning, image processing and IoT - a systematic literature survey

Application of convolutional neural networks for evaluation of disease severity in tomato plant

Classification of Beans Leaf Diseases using Fine Tuned CNN Model

Classification of PASCAL Dataset Using Local Features and Neural Network

Enhancement of Neural Network Performance with the Use of Two Novel Activation Functions: modExp and modExpm

Adaptive Disease Detection Algorithm Using Hybrid CNN Model for Plant Leaves

Crop leaf disease detection for beans using ensembled-convolutional neural networks

Classification of crop leaf diseases using image to image translation with deep-dream

Exploring capsule networks for disease classification in plants

A Systematic Analysis of Machine Learning and Deep Learning Based Approaches for Plant Leaf Disease Classification: A Review

PDS-MCNet: a hybrid framework using MobileNetV2 with SiLU6 activation function and capsule networks for disease severity estimation in plants

Novel fuzzy clustering-based undersampling framework for class imbalance problem

A Study on Different hardware and Cloud based Internet of Things Platforms

An image based prediction system for early blight disease in tomato plants using deep learning algorithm

Statistical analysis of machine learning techniques for predicting powdery mildew disease in tomato plants

Fractional mega trend diffusion function-based feature extraction for plant disease prediction

A hybrid approach for noise reduction-based optimal classifier using genetic algorithm: A case study in plant disease prediction

Impact of reduction in descriptor size on object detection and classification

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