Using UAV-based multispectral images and CGS-YOLO algorithm to distinguish maize seeding from weed.
- Published in:
- Artificial Intelligence in Agriculture, 2025, v. 15, n. 2, p. 162, doi. 10.1016/j.aiia.2025.02.007
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- Publication type:
- Article
Works matching IS 20972113 AND DT 2025 AND VI 15 AND IP 2
Results: 15
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TGFN-SD: A text-guided multimodal fusion network for swine disease diagnosis.
- Published in:
- Artificial Intelligence in Agriculture, 2025, v. 15, n. 2, p. 266, doi. 10.1016/j.aiia.2025.03.002
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- Publication type:
- Article
3
Research on an orchard row centreline multipoint autonomous navigation method based on LiDAR.
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- Artificial Intelligence in Agriculture, 2025, v. 15, n. 2, p. 221, doi. 10.1016/j.aiia.2024.12.003
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- Publication type:
- Article
4
Prediction of sugar beet yield and quality parameters using Stacked-LSTM model with pre-harvest UAV time series data and meteorological factors.
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- Artificial Intelligence in Agriculture, 2025, v. 15, n. 2, p. 252, doi. 10.1016/j.aiia.2025.02.004
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- Publication type:
- Article
5
Precision agriculture technologies for soil site-specific nutrient management: A comprehensive review.
- Published in:
- Artificial Intelligence in Agriculture, 2025, v. 15, n. 2, p. 147, doi. 10.1016/j.aiia.2025.02.001
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- Publication type:
- Article
6
Identifying key factors influencing maize stalk lodging resistance through wind tunnel simulations with machine learning algorithms.
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- Artificial Intelligence in Agriculture, 2025, v. 15, n. 2, p. 316, doi. 10.1016/j.aiia.2025.01.007
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- Publication type:
- Article
7
Efficient one-stage detection of shrimp larvae in complex aquaculture scenarios.
- Published in:
- Artificial Intelligence in Agriculture, 2025, v. 15, n. 2, p. 338, doi. 10.1016/j.aiia.2025.01.009
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- Publication type:
- Article
8
Digitalizing greenhouse trials: An automated approach for efficient and objective assessment of plant damage using deep learning.
- Published in:
- Artificial Intelligence in Agriculture, 2025, v. 15, n. 2, p. 280, doi. 10.1016/j.aiia.2025.03.001
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- Publication type:
- Article
9
Deep learning-based classification, detection, and segmentation of tomato leaf diseases: A state-of-the-art review.
- Published in:
- Artificial Intelligence in Agriculture, 2025, v. 15, n. 2, p. 192, doi. 10.1016/j.aiia.2025.02.006
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- Publication type:
- Article
10
Comprehensive review on 3D point cloud segmentation in plants.
- Published in:
- Artificial Intelligence in Agriculture, 2025, v. 15, n. 2, p. 296, doi. 10.1016/j.aiia.2025.01.006
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- Publication type:
- Article
11
Automatic body condition scoring system for dairy cows in group state based on improved YOLOv5 and video analysis.
- Published in:
- Artificial Intelligence in Agriculture, 2025, v. 15, n. 2, p. 350, doi. 10.1016/j.aiia.2025.01.010
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- Publication type:
- Article
12
A review of the application prospects of cloud-edge-end collaborative technology in freshwater aquaculture.
- Published in:
- Artificial Intelligence in Agriculture, 2025, v. 15, n. 2, p. 232, doi. 10.1016/j.aiia.2025.02.008
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- Publication type:
- Article
13
An efficient strawberry segmentation model based on Mask R-CNN and TensorRT.
- Published in:
- Artificial Intelligence in Agriculture, 2025, v. 15, n. 2, p. 327, doi. 10.1016/j.aiia.2025.01.008
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- Publication type:
- Article
14
Advancing precision agriculture: A comparative analysis of YOLOv8 for multi-class weed detection in cotton cultivation.
- Published in:
- Artificial Intelligence in Agriculture, 2025, v. 15, n. 2, p. 182, doi. 10.1016/j.aiia.2025.01.013
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- Publication type:
- Article
15
Addressing computation resource exhaustion associated with deep learning training of three-dimensional hyperspectral images using multiclass weed classification.
- Published in:
- Artificial Intelligence in Agriculture, 2025, v. 15, n. 2, p. 131, doi. 10.1016/j.aiia.2025.02.005
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- Publication type:
- Article