Fast extraction of navigation line and crop position based on LiDAR for cabbage crops
December 2025
This paper describes the design, algorithm development, and experimental verification of a precise spray perception system based on LiDAR were presented to address the issue that the navigation line...
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Decoding canola and oat crop health and productivity under drought and heat stress using bioelectrical signals and machine learning
December 2025
Abiotic stresses, such as heat and drought, often reduce crop yields by harming plant health. Plants have evolved complex signaling networks to mitigate environmental impacts, making monitoring in-situ...
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Accurate Orah fruit detection method using lightweight improved YOLOv8n model verified by optimized deployment on edge device
December 2025
The replacement of personal computer terminal with edge device is recognized as a portable and cost-effective potential solution in solving equipment miniaturization and achieving high flexibility of...
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Multi-scale cross-modal feature fusion and cost-sensitive loss function for differential detection of occluded bagging pears in practical orchards
December 2025
In practical orchards, the challenges posed by fruit overlapping, branch and leaf occlusion, significantly impede the successful implementation of automated picking, particularly for bagging pears....
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ADeepWeeD: An adaptive deep learning framework for weed species classification
December 2025
Efficient weed management in agricultural fields is essential for attaining optimal crop yields and safeguarding global food security. Every year, farmers worldwide invest significant time, capital,...
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Technical study on the efficiency and models of weed control methods using unmanned ground vehicles: A review
December 2025
As precision agriculture evolves, unmanned ground vehicles (UGVs) have become an essential tool for improving weed management techniques, offering automated and targeted methods that obviously reduce...
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An autonomous navigation method for field phenotyping robot based on ground-air collaboration
December 2025
High-throughput phenotyping collection technology is important in affecting the efficiency of crop breeding. This study introduces a novel autonomous navigation method for phenotyping robots that leverages...
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MSNet: A multispectral-image driven rapeseed canopy instance segmentation network
December 2025
Precise detection of rapeseed and the growth of its canopy area are crucial phenotypic indicators of its growth status. Achieving accurate identification of the rapeseed target and its growth region...
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A review on enhancing agricultural intelligence with large language models
December 2025
This paper systematically explores the application potential of large language models (LLMs) in the field of agricultural intelligence, focusing on key technologies and practical pathways. The study...
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A new tool to improve the computation of animal kinetic activity indices in precision poultry farming
December 2025
Precision Livestock Farming (PLF) emerges as a promising solution for revolutionising farming by enabling real-time automated monitoring of animals through smart technologies. PLF provides farmers with...
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PWM offline variable application based on UAV remote sensing 3D prescription map
September 2025
Precision application in orchards enhancing deposition uniformity and environmental sustainability by accurately matching nozzle output with canopy parameters. This study provides a pipeline for creating...
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AI-driven aquaculture: A review of technological innovations and their sustainable impacts
September 2025
The integration of artificial intelligence (AI) in aquaculture has been identified as a transformative force, enhancing various operational aspects from water quality management to genetic optimization....
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End-to-end deep fusion of hyperspectral imaging and computer vision techniques for rapid detection of wheat seed quality
September 2025
Seeds are essential to the agri-food industry. However, their quality is vulnerable to biotic and abiotic stresses during production and storage, leading to various types of deterioration. Real-time...
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Stereo vision based broccoli recognition and attitude estimation method for field harvesting
September 2025
At present, automatic broccoli harvest in field still faces some issues. It is difficult to segment broccoli in real time under complex field background, and hard to pick tilt-growing broccoli for the...
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Boosting grapevine phenological stages prediction based on climatic data by pseudo-labeling approach
September 2025
Predicting grapevine phenological stages (GPHS) is critical for precisely managing vineyard operations, including plant disease treatments, pruning, and harvest. Solutions commonly used to address viticulture...
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Unveiling the drivers contributing to global wheat yield shocks through quantile regression
September 2025
Sudden reductions in crop yield (i.e., yield shocks) severely disrupt the food supply, intensify food insecurity, depress farmers' welfare, and worsen a country's economic conditions. Here, we study...
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Improving the performance of machine learning algorithms for detection of individual pests and beneficial insects using feature selection techniques
September 2025
To reduce damage caused by insect pests, farmers use insecticides to protect produce from crop pests. This practice leads to high synthetic chemical usage because a large portion of the applied insecticide...
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Navigating challenges/opportunities in developing smart agricultural extension platforms: Multi-media data mining techniques
September 2025
Agricultural Extension (AE) research faces significant challenges in producing relevant and practical knowledge due to rapid advancements in artificial intelligence (AI). AE struggles to keep pace with...
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Transformer-based audio-visual multimodal fusion for fine-grained recognition of individual sow nursing behaviour
September 2025
Nursing behaviour and the calling-to-nurse sound are crucial indicators for assessing sow maternal behaviour and nursing status. However, accurately identifying these behaviours for individual sows...
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Effective methods for mitigate the impact of light occlusion on the accuracy of online cabbage recognition in open fields
September 2025
To address the low recognition accuracy of open-field vegetables under light occlusion, this study focused on cabbage and developed an online target recognition model based on deep learning. Using Yolov8n...
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Assessing particle application in multi-pass overlapping scenarios with variable rate centrifugal fertilizer spreaders for precision agriculture
September 2025
Environmental impacts and economic demands are driving the development of variable rate fertilization (VRF) technology for precision agriculture. Despite the advantages of a simple structure, low cost...
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Joint optimization of AI large and small models for surface temperature and emissivity retrieval using knowledge distillation
September 2025
The rapid advancement of artificial intelligence in domains such as natural language processing has catalyzed AI research across various fields. This study introduces a novel strategy, the AutoKeras-Knowledge...
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Multimodal behavior recognition for dairy cow digital twin construction under incomplete modalities: A modality mapping completion network approach
September 2025
The recognition of dairy cow behavior is essential for enhancing health management, reproductive efficiency, production performance, and animal welfare. This paper addresses the challenge of modality...
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Mapping of soil sampling sites using terrain and hydrological attributes
September 2025
Efficient soil sampling is essential for effective soil management and research on soil health. Traditional site selection methods are labor-intensive and fail to capture soil variability comprehensively....
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Enhancing maize LAI estimation accuracy using unmanned aerial vehicle remote sensing and deep learning techniques
September 2025
The leaf area index (LAI) is crucial for precision agriculture management. UAV remote sensing technology has been widely applied for LAI estimation. Although spectral features are widely used for LAI...
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