Decoupling tea-bud heap structure from non-imaging hyperspectral spectra for accurate single-bud trace biochemistry retrieval
March 2026
Accurate, real-time, non-destructive estimation of single-bud biochemistry is critical for managing green-tea quality, yet non-imaging hyperspectral measurements of arbitrarily stacked buds are confounded...
Advancing lightweight and efficient detection of tomato main stems for edge device deployment
March 2026
Automated pruning and defoliation of tomato plants are essential in modern cultivation systems for optimizing canopy structure, enhancing air circulation, and increasing yield. However, detecting main...
Dual attention guided context-aware feature learning for residual unfilled grains detection on threshed rice panicles
March 2026
Accurate detection of residual unfilled grains on threshed rice panicles is a critical step in determining a reliable grain-setting rate, and holds significant potential for the development of high-quality...
Multi-scale feature alignment network for 19-class semantic segmentation in agricultural environments
March 2026
To improve environmental perception and ensure reliable agricultural machinery navigation during field transitions under unstructured farm road conditions, this study utilizes high-resolution RGB camera...
PlantSegNeRF: A few-shot, cross-species method for plant 3D instance point cloud reconstruction via joint-channel NeRF with multi-view image instance matching
March 2026
Organ segmentation of plant point clouds is a prerequisite for the high-resolution and accurate extraction of organ-level phenotypic traits. Although the fast development of deep learning has boosted...
SCLFormer: A synergistic convolution-linear attention transformer for hyperspectral image classification of mechanical damage in maize kernels
March 2026
Classifying mechanical damage in maize kernels using hyperspectral imaging is crucial for food security and loss reduction. Existing methods are constrained by high computational complexity and limited...
Multi-arm robotic system and strategy for the automatic packaging of apples
March 2026
Packaging is a crucial step in the commercial distribution of apples after harvest. However, achieving fast and accurate automated packaging remains a challenge. This study proposed for the first time...
Integrating 3D detection networks and dynamic temporal phenotyping for wheat yield classification and prediction
March 2026
Automated phenotyping of wheat growth stages from 3D point clouds is still limited. The study presents a concise framework that reconstructs multi-view UAS imagery into 3D point clouds (jointing to...
Optimizing herbicide reduction: A simulation approach using Artificial Intelligence and different nozzle configurations
March 2026
Targeted application aims to minimize product usage by spraying only where needed. However, there is a lack of tools to evaluate the potential savings and the model's limitations. To address this, we...
Adaptive compensation method for navigation positioning errors considering the vibration characteristics of a combine harvester11* Corresponding author.E-mail addresses: xiaomaohua@njau.edu.cn (M. Xiao), wboclear@stu.njau.edu.cn (W. Wei).
March 2026
Positioning accuracy directly affects the operational performance and stability of navigation systems. However, in complex field environments, severe vibrations during combine harvester operation can...
SpecColorNet: An interpretable multimodal deep learning approach for predicting SSC of multiple pears
March 2026
Visible/near-infrared spectroscopy provides a non-destructive approach for evaluating soluble solids content (SSC) of pears (Pyrus pyrifolia Nakai). However, variations among pear cultivars, especially...
Maize phenological stage recognition via coordinated UAV and UGV multi-view sensing and deep learning
March 2026
Crop phenological stages, marked by key events such as germination, leaf emergence, flowering, and senescence, are critical indicators of crop development. Accurate, dynamic monitoring of these stages...
CTGNN: UAV-satellite cross-domain transfer learning for monitoring oat growth in China’s key production areas
March 2026
Modern agricultural production necessitates real-time, precise monitoring of crop growth status to optimize management decisions. While remote sensing technologies offer multi-scale observational capabilities,...
Prediction of wheat stem biomass using a new unified model driven by phenological variable under remote-sensed canopy vegetation index constraints
March 2026
Timely and accurate prediction of stem dry biomass (SDB) is crucial for monitoring crop growing status. However, conventional biomass estimation models are often limited by the influence of crop growth...
LPNet: A lightweight progressive network for calyx-aware apple pose estimation in orchard environments
March 2026
Robotic apple harvesting has gradually become a critical requirement for modern agriculture. However, complex orchard environments and limited computational resources pose significant challenges for...
AI-based respiratory rate estimation in group-housed pigs infected with Mycoplasma hyopneumoniae under occlusion conditions
Available online 16 January 2026
Respiratory rate (RR) is a critical physiological indicator for assessing the health and welfare of pigs. Although numerous studies have focused on RR monitoring, most have overlooked the issue of mutual...
Integrative hormone-metabolite tracking reveals ultra-early immune responses to anthracnose in tea cultivars
Available online 15 January 2026
Plant fungal pathogens, particularly anthracnose, pose a significant threat to tea production by adversely affecting both yield and quality. Detecting these pathogens has been challenging due to the...
Soil knowledge-guided multi-task transformer model for predicting soil properties and crop traits with early warning alerts
Available online 14 January 2026
Soil properties are vital for soil health, fertility, and crop productivity, yet traditional methods like the Partial Least Squares Regression (PLSR) predict individual properties without capturing...
UAV-based monitoring of residual plastic film pollution in cotton fields before sowing with AIC-UNet
Available online 14 January 2026
This study optimizes UAV sampling methods and path planning, and constructs the AIC-UNet (Improved ASPP-InceptionV4-CBAM UNet) model to mitigate the interference of illuminance variations with residual...
AgriGaussian: A low-cost 3D reconstruction method for high-fidelity plant architecture analysis
Available online 13 January 2026
High-quality, real-time three-dimensional (3D) reconstruction and phenotyping of field crops are essential for advancing digital farm management. However, challenges such as diverse crop postures and...
EDSC-HRAFNet: An apple tree branch semantic segmentation model for harvesting robots under complex orchard conditions
Available online 13 January 2026
Accurate semantic understanding of tree branches is critical for orchard harvesting robots in automated fruit harvesting and pruning. Existing methods suffer from low detection accuracy and limited...
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...
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,...
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...