Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides
Volume 4, Issue , January 2020, Pages 58-73
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
Transfer Learning for Multi-Crop Leaf Disease Image Classification using Convolutional Neural Network VGG
Volume 6, Issue , January 2022, Pages 23-33
Plant disease detection using hybrid model based on convolutional autoencoder and convolutional neural network
Volume 5, Issue , January 2021, Pages 90-101
Automation and digitization of agriculture using artificial intelligence and internet of things
Volume 5, Issue , January 2021, Pages 278-291
A review of imaging techniques for plant disease detection
Volume 4, Issue , January 2020, Pages 229-242
Review of agricultural IoT technology
Volume 6, Issue , January 2022, Pages 10-22
Deep learning based computer vision approaches for smart agricultural applications
Volume 6, Issue , January 2022, Pages 211-229
Artificial cognition for applications in smart agriculture: A comprehensive review
Volume 4, Issue , January 2020, Pages 81-95
Real-time hyperspectral imaging for the in-field estimation of strawberry ripeness with deep learning
Volume 4, Issue , January 2020, Pages 31-38
Comparison of CNN-based deep learning architectures for rice diseases classification
Volume 9, Issue , September 2023, Pages 22-35
A review on computer vision systems in monitoring of poultry: A welfare perspective
Volume 4, Issue , January 2020, Pages 184-208
Deep convolutional neural network models for weed detection in polyhouse grown bell peppers
Volume 6, Issue , January 2022, Pages 47-54
Blockchain: A new safeguard for agri-foods
Volume 4, Issue , January 2020, Pages 153-161
Deep learning approach for recognition and classification of yield affecting paddy crop stresses using field images
Volume 4, Issue , January 2020, Pages 12-20
Explainable artificial intelligence and interpretable machine learning for agricultural data analysis
Volume 6, Issue , January 2022, Pages 257-265
Fruit ripeness classification: A survey
Volume 7, Issue , March 2023, Pages 44-57
Comparing YOLOv8 and Mask R-CNN for instance segmentation in complex orchard environments
Volume 13, Issue , September 2024, Pages 84-99
Computer vision in smart agriculture and precision farming: Techniques and applications
Volume 13, Issue , September 2024, Pages 64-83
Evaluation of optimization techniques in predicting optimum moisture content reduction in drying potato slices
Volume 4, Issue , January 2020, Pages 39-47
A systematic review of machine learning techniques for cattle identification: Datasets, methods and future directions
Volume 6, Issue , January 2022, Pages 138-155
Disease detection, severity prediction, and crop loss estimation in MaizeCrop using deep learning
Volume 6, Issue , January 2022, Pages 276-291
Using an improved lightweight YOLOv8 model for real-time detection of multi-stage apple fruit in complex orchard environments
Volume 11, Issue , March 2024, Pages 70-82
Examining the interplay between artificial intelligence and the agri-food industry
Volume 6, Issue , January 2022, Pages 111-128
DeepRice: A deep learning and deep feature based classification of Rice leaf disease subtypes
Volume 11, Issue , March 2024, Pages 34-49