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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Research on an orchard row centreline multipoint autonomous navigation method based on LiDAR
June 2025
Orchard intelligent equipment must perform autonomous navigation tasks along fruit tree row centrelines and headlands according to established operational requirements. The tree canopy obstructs satellite...
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Comprehensive review on 3D point cloud segmentation in plants
June 2025
Segmentation of three-dimensional (3D) point clouds is fundamental in comprehending unstructured structural and morphological data. It plays a critical role in research related to plant phenomics, 3D...
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Identifying key factors influencing maize stalk lodging resistance through wind tunnel simulations with machine learning algorithms
June 2025
Climate change has intensified maize stalk lodging, severely impacting global maize production. While numerous traits influence stalk lodging resistance, their relative importance remains unclear, hindering...
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Automatic body condition scoring system for dairy cows in group state based on improved YOLOv5 and video analysis
June 2025
This study proposes an automated scoring system for cow body condition using improved YOLOv5 to assess the body condition distribution of herd cows, which significantly impacts herd productivity and...
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Efficient one-stage detection of shrimp larvae in complex aquaculture scenarios
June 2025
The swift evolution of deep learning has greatly benefited the field of intensive aquaculture. Specifically, deep learning-based shrimp larvae detection has offered important technical assistance for...
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An efficient strawberry segmentation model based on Mask R-CNN and TensorRT
June 2025
Currently, artificial intelligence (AI), particularly computer vision (CV), has numerous applications in agriculture. In this field, the production and consumption of strawberries have experienced great...
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Precision agriculture technologies for soil site-specific nutrient management: A comprehensive review
June 2025
Amidst the growing food demands of an increasing population, agricultural intensification frequently depends on excessive chemical and fertilizer applications. While this approach initially boosts crop...
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Addressing computation resource exhaustion associated with deep learning training of three-dimensional hyperspectral images using multiclass weed classification
June 2025
Addressing the computational bottleneck of training deep learning models on high-resolution, three-dimensional images, this study introduces an optimized approach, combining distributed learning (parallelism),...
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Advancing precision agriculture: A comparative analysis of YOLOv8 for multi-class weed detection in cotton cultivation
June 2025
Effective weed management plays a critical role in enhancing the productivity and sustainability of cotton cultivation. The rapid emergence of herbicide-resistant weeds has underscored the need for...
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Deep learning-based classification, detection, and segmentation of tomato leaf diseases: A state-of-the-art review
June 2025
The early identification and treatment of tomato leaf diseases are crucial for optimizing plant productivity, efficiency and quality. Misdiagnosis by the farmers poses the risk of inadequate treatments,...
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Using UAV-based multispectral images and CGS-YOLO algorithm to distinguish maize seeding from weed
June 2025
Accurate recognition of maize seedlings on the plot scale under the disturbance of weeds is crucial for early seedling replenishment and weed removal. Currently, UAV-based maize seedling recognition...
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Prediction of sugar beet yield and quality parameters using Stacked-LSTM model with pre-harvest UAV time series data and meteorological factors
June 2025
Accurate pre-harvest prediction of sugar beet yield is vital for effective agricultural management and decision-making. However, traditional methods are constrained by reliance on empirical knowledge,...
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A review of the application prospects of cloud-edge-end collaborative technology in freshwater aquaculture
June 2025
This paper reviews the application and potential of cloud-edge-end collaborative (CEEC) technology in the field of freshwater aquaculture, a rapidly developing sector driven by the growing global demand...
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TGFN-SD: A text-guided multimodal fusion network for swine disease diagnosis
June 2025
China is the world's largest producer of pigs, but traditional manual prevention, treatment, and diagnosis methods cannot satisfy the demands of the current intensive production environment. Existing...
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Digitalizing greenhouse trials: An automated approach for efficient and objective assessment of plant damage using deep learning
June 2025
The use of image based and, recently, deep learning-based systems have provided good results in several applications. Greenhouse trials are key part in the process of developing and testing new herbicides...
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Application of artificial intelligence in insect pest identification - A review
Available online 16 June 2025
The increasing danger of insect pests to agriculture and ecosystems calls for quick, and precise diagnosis. Conventional techniques that depend on human observation and taxonomic knowledge are frequently...
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