A comprehensive review on automation in agriculture using artificial intelligence
Volume 2, Issue , June 2019, Pages 1-12
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Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides
Volume 4, Issue , January 2020, Pages 58-73
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Applications of electronic nose (e-nose) and electronic tongue (e-tongue) in food quality-related properties determination: A review
Volume 4, Issue , January 2020, Pages 104-115
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Plant disease detection using hybrid model based on convolutional autoencoder and convolutional neural network
Volume 5, Issue , January 2021, Pages 90-101
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Transfer Learning for Multi-Crop Leaf Disease Image Classification using Convolutional Neural Network VGG
Volume 6, Issue , January 2022, Pages 23-33
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A review of imaging techniques for plant disease detection
Volume 4, Issue , January 2020, Pages 229-242
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Review of agricultural IoT technology
Volume 6, Issue , January 2022, Pages 10-22
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Automation and digitization of agriculture using artificial intelligence and internet of things
Volume 5, Issue , January 2021, Pages 278-291
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Artificial cognition for applications in smart agriculture: A comprehensive review
Volume 4, Issue , January 2020, Pages 81-95
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Real-time hyperspectral imaging for the in-field estimation of strawberry ripeness with deep learning
Volume 4, Issue , January 2020, Pages 31-38
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Deep learning based computer vision approaches for smart agricultural applications
Volume 6, Issue , January 2022, Pages 211-229
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Sunflower leaf diseases detection using image segmentation based on particle swarm optimization
Volume 3, Issue , September 2019, Pages 62-68
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Deep learning approach for recognition and classification of yield affecting paddy crop stresses using field images
Volume 4, Issue , January 2020, Pages 12-20
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Deep convolutional neural network models for weed detection in polyhouse grown bell peppers
Volume 6, Issue , January 2022, Pages 47-54
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A review on computer vision systems in monitoring of poultry: A welfare perspective
Volume 4, Issue , January 2020, Pages 184-208
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Blockchain: A new safeguard for agri-foods
Volume 4, Issue , January 2020, Pages 153-161
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Comparison of CNN-based deep learning architectures for rice diseases classification
Volume 9, Issue , September 2023, Pages 22-35
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Evaluation of optimization techniques in predicting optimum moisture content reduction in drying potato slices
Volume 4, Issue , January 2020, Pages 39-47
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Recent advances in Raman technology with applications in agriculture, food and biosystems: A review
Volume 3, Issue , September 2019, Pages 1-10
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Explainable artificial intelligence and interpretable machine learning for agricultural data analysis
Volume 6, Issue , January 2022, Pages 257-265
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Fruit ripeness classification: A survey
Volume 7, Issue , March 2023, Pages 44-57
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Mango internal defect detection based on optimal wavelength selection method using NIR spectroscopy
Volume 5, Issue , January 2021, Pages 43-51
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Disease detection, severity prediction, and crop loss estimation in MaizeCrop using deep learning
Volume 6, Issue , January 2022, Pages 276-291
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Principles, developments and applications of laser-induced breakdown spectroscopy in agriculture: A review
Volume 4, Issue , January 2020, Pages 127-139
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Examining the interplay between artificial intelligence and the agri-food industry
Volume 6, Issue , January 2022, Pages 111-128
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