| Deep learning in agriculture: A survey |
266 |
| Deep learning models for plant disease detection and diagnosis |
128 |
| Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review |
91 |
| Apple detection during different growth stages in orchards using the improved YOLO-V3 model |
63 |
| A comparative study of fine-tuning deep learning models for plant disease identification |
54 |
| IoT and agriculture data analysis for smart farm |
53 |
| Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review |
50 |
| Evolution of Internet of Things (IoT) and its significant impact in the field of Precision Agriculture |
42 |
| Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection |
41 |
| Fruit detection for strawberry harvesting robot in non-structural environment based on Mask-RCNN |
40 |
| Deep learning - Method overview and review of use for fruit detection and yield estimation |
38 |
| Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification |
32 |
| A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network |
32 |
| Current and future applications of statistical machine learning algorithms for agricultural machine vision systems |
31 |
| An IoT based smart irrigation management system using Machine learning and open source technologies |
28 |
| Unsupervised detection of vineyards by 3D point-cloud UAV photogrammetry for precision agriculture |
28 |
| An automated detection and classification of citrus plant diseases using image processing techniques: A review |
28 |
| Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild |
27 |
| Application of artificial intelligence models for the prediction of standardized precipitation evapotranspiration index (SPEI) at Langat River Basin, Malaysia |
26 |
| Monitoring plant diseases and pests through remote sensing technology: A review |
26 |
| Feeding behavior recognition for group-housed pigs with the Faster R-CNN |
26 |
| Analysis of transfer learning for deep neural network based plant classification models |
25 |
| Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in UAV images |
24 |
| Multi-modal deep learning for Fuji apple detection using RGB-D cameras and their radiometric capabilities |
24 |
| Wheat yellow rust monitoring by learning from multispectral UAV aerial imagery |
23 |
| Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq |
23 |
| CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features |
22 |
| Reference evapotranspiration estimation and modeling of the Punjab Northern India using deep learning |
22 |
| Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence |
22 |
| Application of artificial neural networks for predicting tree survival and mortality in the Hyrcanian forest of Iran |
21 |
| Vineyard water status estimation using multispectral imagery from an UAV platform and machine learning algorithms for irrigation scheduling management |
21 |
| Automatic recognition of lactating sow postures from depth images by deep learning detector |
20 |
| A review on weed detection using ground-based machine vision and image processing techniques |
20 |
| In-field high throughput grapevine phenotyping with a consumer-grade depth camera |
20 |
| A methodology for fresh tomato maturity detection using computer vision |
19 |
| Visualizing distribution of moisture content in tea leaves using optimization algorithms and NIR hyperspectral imaging |
19 |
| Forecasting yield by integrating agrarian factors and machine learning models: A survey |
19 |
| A novel approach for vegetation classification using UAV-based hyperspectral imaging |
18 |
| Mapping forests using an unmanned ground vehicle with 3D LiDAR and graph-SLAM |
18 |
| Data synthesis methods for semantic segmentation in agriculture: A Capsicum annuum dataset |
18 |
| A remote sensing technique for detecting laurel wilt disease in avocado in presence of other biotic and abiotic stresses |
18 |
| Detection of orchard citrus fruits using a monocular machine vision-based method for automatic fruit picking applications |
17 |
| Detection of grapevine yellows symptoms in Vitis vinifera L. with artificial intelligence |
17 |
| Development and field evaluation of a strawberry harvesting robot with a cable-driven gripper |
17 |
| Big GIS analytics framework for agriculture supply chains: A literature review identifying the current trends and future perspectives |
17 |
| Immature green citrus fruit detection using color and thermal images |
17 |
| Automated leaf disease detection in different crop species through image features analysis and One Class Classifiers |
17 |
| Near infrared computer vision and neuro-fuzzy model-based feeding decision system for fish in aquaculture |
16 |
| Predicting the ripening Of papaya fruit with digital imaging and random forests |
16 |
| Detection of stored-grain insects using deep learning |
16 |
