Automatic body temperature detection of group-housed piglets based on infrared and visible image fusion
March 2026
Rapid and accurate measurement of body temperature is essential for early disease detection, as it is a key indicator of piglet health. Infrared thermography (IRT) is a widely used, convenient, non-intrusive,...
Development of an enhanced hybrid attention YOLOv8s small object detection method for phenotypic analysis of root nodules
March 2026
Nodule formation and their involvement in biological nitrogen fixation are critical features of leguminous plants, with phenotypic characteristics closely linked to plant growth and nitrogen fixation...
Application of artificial intelligence in insect pest identification - A review
March 2026
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...
A perspective analysis of imaging-based monitoring systems in precision viticulture: Technologies, intelligent data analyses and research challenges
March 2026
This paper presents a comprehensive review of recent advancements in intelligent monitoring systems within the precision viticulture sector. These systems have the potential to make agricultural production...
Multivariate stacked regression pipeline to estimate correlated macro and micronutrients in potato plants using visible and near-infrared reflectance spectra
March 2026
The ability to sense nutrient status in potato plants using spectroscopy has several merits including the ability to proactively respond to deficiencies of certain elements. While research so far has...
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...
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...
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...
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....
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,...
Picking point localization method based on semantic reasoning for complex picking scenarios in vineyards
December 2025
In the complex orchard environment, precise picking point localization is crucial for the automation of fruit picking robots. However, existing methods are prone to positioning errors when dealing with...
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...
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...
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...
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...
Multi-camera fusion and bird-eye view location mapping for deep learning-based cattle behavior monitoring
December 2025
Cattle behavioral monitoring is an integral component of the modern infrastructure of the livestock industry. Ensuring cattle well-being requires precise observation, typically using wearable devices...
Rapid detection and visualization of physiological signatures in cotton leaves under Verticillium wilt stress
December 2025
Verticillium wilt poses a severe threat to cotton growth and significantly impacts cotton yield. It is of significant importance to detect Verticillium wilt stress in time. In this study, the effects...
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...
Improving accuracy and generalization in single kernel oil characteristics prediction in maize using NIR-HSI and a knowledge-injected spectral tabtransformer
December 2025
Near-infrared spectroscopy hyperspectral imaging (NIR-HSI) is widely used for seed component prediction due to its non-destructive and rapid nature. However, existing models often suffer from limited...
EU-GAN: A root inpainting network for improving 2D soil-cultivated root phenotyping
December 2025
Beyond its fundamental roles in nutrient uptake and plant anchorage, the root system critically influences crop development and stress tolerance. Rhizobox enables in situ and nondestructive phenotypic...
FGPointKAN++ point cloud segmentation and adaptive key cutting plane recognition for cow body size measurement
December 2025
Accurate and efficient body size measurement is essential for health assessment and production management in modern animal husbandry. In order to realize the segmentation of the point clouds at the...
Recognizing and localizing chicken behaviors in videos based on spatiotemporal feature learning
December 2025
Timely acquisition of chicken behavioral information is crucial for assessing chicken health status and production performance. Video-based behavior recognition has emerged as a primary technique for...
VMGP: A unified variational auto-encoder based multi-task model for multi-phenotype, multi-environment, and cross-population genomic selection in plants
December 2025
Plant breeding stands as a cornerstone for agricultural productivity and the safeguarding of food security. The advent of Genomic Selection heralds a new epoch in breeding, characterized by its capacity...
A comprehensive review of obstacle avoidance for autonomous agricultural machinery in multi-operational environment
Available online 3 October 2025
As automation becomes increasingly adopted to mitigate labor shortages and boost productivity, autonomous technologies such as tractors, drones, and robotic devices are being utilized for various tasks...
YOLO-light-pruned: A lightweight model for monitoring maize seedling count and leaf age using near-ground and UAV RGB images
Available online 2 October 2025
Maize seedling count and leaf age are critical indicators of early growth status, essential for effective field management and breeding variety selection. Traditional field monitoring methods are time-consuming,...
