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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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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Estimating TYLCV resistance level using RGBD sensors in production greenhouse conditions
December 2024
Automated phenotyping is the task of automatically measuring plant attributes to help farmers and breeders in developing and growing strong robust plants. An automated tool for early illness detection...
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Detectability of multi-dimensional movement and behaviour in cattle using sensor data and machine learning algorithms: Study on a Charolais bull
December 2024
The development of motion sensors for monitoring cattle behaviour has enabled farmers to predict the state of their cattle's welfare more efficiently. While most studies work with one dimensional output...
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Utility-based regression and meta-learning techniques for modeling actual ET: Comparison to (METRIC-EEFLUX) model
December 2024
Estimating actual evapotranspiration (ETₐ) is crucial for water resource management, yet existing methods face limitations. Traditional approaches, including eddy covariance and remote sensing-based...
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Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
December 2024
Due to intensive genetic selection for rapid growth rates and high broiler yields in recent years, the global poultry industry has faced a challenging problem in the form of woody breast (WB) conditions....
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A salient feature establishment tactic for cassava disease recognition
December 2024
Accurate classification of cassava disease, particularly in field scenarios, relies on object semantic localization to identify and precisely locate specific objects within an image based on their semantic...
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Enhancing crop yield prediction in Senegal using advanced machine learning techniques and synthetic data
December 2024
In this study, we employ advanced data-driven techniques to investigate the complex relationships between the yields of five major crops and various geographical and spatiotemporal features in Senegal....
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Research on an orchard row centreline multipoint autonomous navigation method based on LiDAR
Available online 19 December 2024
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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An artificial neuronal network coupled with a genetic algorithm to optimise the production of unsaturated fatty acids in Parachlorella kessleri
September 2024
In this study, an Artificial Neural Network-Genetic Algorithm (ANN-GA) approach was successfully applied to optimise the physicochemical factors influencing the synthesis of unsaturated fatty acids...
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A comprehensive survey on weed and crop classification using machine learning and deep learning
September 2024
Machine learning and deep learning are subsets of Artificial Intelligence that have revolutionized object detection and classification in images or videos. This technology plays a crucial role in facilitating...
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Estimation of flea beetle damage in the field using a multistage deep learning-based solution
September 2024
Estimation of damage in plants is a key issue for crop protection. Currently, experts in the field manually assess the plots. This is a time-consuming task that can be automated thanks to the latest...
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