Classifying early apple scab infections in multispectral imagery using convolutional neural networks
March 2025
Multispectral imaging systems combined with deep learning classification models can be cost-effective tools for the early detection of apple scab (Venturia inaequalis) disease in commercial orchards....
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Robotization of banana de-handing under multi-constraint scenarios: Challenges and future directions
March 2025
Banana de-handing is an important part of banana post-harvesting operation. The traditional artificial de-handing model has problems such as labor intensity, inaccurate cutting, uneven cutting surface,...
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Development of automatic wheat seeding quantity control system based on Doppler radar speed measurement
March 2025
With advancements in agricultural technology, the full mechanization of rice straw wheat planting has been achieved. However, issues such as missed seeding, uneven row spacing, and poor uniformity of...
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A bibliometric analysis of research on remote sensing-based monitoring of soil organic matter conducted between 2003 and 2023
March 2025
Soil organic matter (SOM) is a key metric for assessing soil quality and crop yield potential. It plays a vital role in maintaining the ecological balance environment and promoting sustainable farming...
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Normalized difference vegetation index prediction using reservoir computing and pretrained language models
March 2025
In this study, we examined plant health prediction through the Normalized Difference Vegetation Index (NDVI) calculated from satellite image derived reflectance values in the near-infrared and red spectra....
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PAB-Mamba-YOLO: VSSM assists in YOLO for aggressive behavior detection among weaned piglets
March 2025
Aggressive behavior among piglets is considered a harmful social contact. Monitoring weaned piglets with intense aggressive behaviors is paramount for pig breeding management. This study introduced...
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Crop-conditional semantic segmentation for efficient agricultural disease assessment
March 2025
In this study, we introduced an innovative crop-conditional semantic segmentation architecture that seamlessly incorporates contextual metadata (crop information). This is achieved by merging the contextual...
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High-throughput phenotyping techniques for forage: Status, bottleneck, and challenges
March 2025
High-throughput phenotyping (HTP) technology is now a significant bottleneck in the efficient selection and breeding of superior forage genetic resources. To better understand the status of forage phenotyping...
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Knowledge-guided temperature correction method for soluble solids content detection of watermelon based on Vis/NIR spectroscopy
March 2025
Visible/near-infrared (Vis/NIR) spectroscopy technology has been extensively utilized for the determination of soluble solids content (SSC) in fruits. Nonetheless, the spectral distortion resulting...
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Enhancing citrus surface defects detection: A priori feature guided semantic segmentation model
March 2025
The accurate detection of citrus surface defects is of great importance for elevating the product quality and augmenting its market value. However, due to defect diversity and complexity, existing methods...
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End-to-end deep fusion of hyperspectral imaging and computer vision techniques for rapid detection of wheat seed quality
Available online 13 February 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
Available online 13 February 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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Precision agriculture technologies for soil site-specific nutrient management: A comprehensive review
Available online 11 February 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
Available online 11 February 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
Available online 11 February 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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AI-driven aquaculture: A review of technological innovations and their sustainable impacts
Available online 6 February 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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An efficient strawberry segmentation model based on Mask R-CNN and TensorRT
Available online 3 February 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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Automatic body condition scoring system for dairy cows in group state based on improved YOLOv5 and video analysis
Available online 27 January 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
Available online 27 January 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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PWM offline variable application based on UAV remote sensing 3D prescription map
Available online 27 January 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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Identifying key factors influencing maize stalk lodging resistance through wind tunnel simulations with machine learning algorithms
Available online 13 January 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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Comprehensive review on 3D point cloud segmentation in plants
Available online 11 January 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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Automatic location and recognition of horse freezing brand using rotational YOLOv5 deep learning network
December 2024
Individual livestock identification is of great importance to precision livestock farming. Liquid nitrogen freezing labeled horse brand is an effective way for livestock individual identification. Along...
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A review of external quality inspection for fruit grading using CNN models
December 2024
This article reviews the state of the art of recent CNN models used for external quality inspection of fruits, considering parameters such as color, shape, size, and defects, used to categorize fruits...
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Development of a cutting-edge ensemble pipeline for rapid and accurate diagnosis of plant leaf diseases
December 2024
Selecting techniques is a crucial aspect of disease detection analysis, particularly in the convergence of computer vision and agricultural technology. Maintaining crop disease detection in a timely...
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