Visual–tactile fusion for real-time weed detection in maize: Lightweight precision weed detection network with tactile-triggered keyframes
Available online 30 July 2026
Weeds severely threaten maize growth and yield, and accurate weed detection is essential but remains challenging for precision maize protection. Although vision-based methods for weed detection have...
Target-oriented spectral disentanglement improves cross-year robustness of UAV hyperspectral inversion of winter wheat agronomic parameters
Available online 30 July 2026
The hyperspectral reflectance of winter wheat canopy is jointly influenced by multiple agronomic parameters, including canopy structure, pigment status, and biomass accumulation. Shared spectral responses...
BaciCausalLM: A lightweight causal-reasoning large language model for Bacillus-based agricultural biomanufacturing
Available online 30 July 2026
The genus Bacillus provides important microbial cell factories for bioactive metabolite production in agricultural biomanufacturing, yet optimization of metabolic regulation and fermentation processes...
Virtual class-aware orthogonal and contrastive prototype calibration for few-shot class-incremental plant disease identification
Available online 30 July 2026
Deep neural networks (DNNs), renowned for their powerful representational capabilities, have achieved state-of-the-art performance in plant disease identification. However, these models are predominantly...
Contrastive learning with sparsely annotated dataset for apple detection in smart orchard farming
Available online 22 July 2026
Detecting and locating apples are important for picking robots and orchard management. Although fully-supervised object detection (FSOD) methods have achieved impressive apple detection performance,...
Defect-aware dual-stream RGB-D perception for tomato pedicel cutting-point detection and 6D pose estimation in a robotic harvesting system
Available online 5 July 2026
Accurate 3D localization and pose estimation of tomato pedicel shearing points are prerequisites for stable, damage-free robotic harvesting in cluttered greenhouses. However, many existing pipelines...
FCMamba: A frequency-enhanced state space network for edge-based plant disease recognition
Available online 1 July 2026
Accurate plant disease recognition on edge devices requires models that can preserve fine-grained lesion details, capture long-range spatial dependencies, and maintain low computational cost. However,...
PII-CNN-LSTM: A multi-modal deep learning framework integrating novel pollination importance index for predicting optimal apple pollination windows
June 2026
Pollination optimization in apple orchards faces increasing challenges from climate variability and declining pollinator populations, necessitating precision timing strategies. This study introduces...
Integrating hyperspectral radiation transfer modeling and deep transfer learning to estimate nitrogen density in winter wheat canopies
June 2026
Nitrogen is a core element that regulates winter wheat yield and quality, and its precise monitoring is crucial for sustainable agricultural development. Traditional empirical methods and physical inversion...
Optimization and evaluation of weed control performance in variable-rate patch spraying in field: Small-scale prescription operation
June 2026
Weed management is an important means to ensure crop production, and the extensive use of herbicides destroys the ecological balance of farmland and enhances weed resistance. In this paper, an intelligent...
Evaluation of Multi-Object Detection models for automated goat behavior identification in intensive farming facilities
June 2026
Computer vision offers significant potential for the continuous, stress-free, and cost-effective monitoring of animal behavior, yet its application in goat farming remains limited. In this study, a...
An integrated time series modeling and computer vision framework for predictive structure characterization of extruded plant-based meat products
June 2026
Plant-based meat extrusion is a complex multi-stage process involving dynamic interactions among raw materials, operational parameters, and resulting product structure. Maintaining consistent product...
Leveraging artificial intelligence and evolutionary algorithms for optimising cow supplementation and milk production
June 2026
Efficient allocation of grain-based concentrate is essential for maximising milk yield and improving profitability in dairy farming. This study optimised concentrate allocation for dairy cows by integrating...
Empowering Chinese medicinal agriculture through AI-driven technologies: A comprehensive review
June 2026
Traditional Chinese medicine, with its rich history and profound influence on healthcare, is deeply rooted in medicinal plants, which serve as the foundation for Chinese herbal medicines (CHMs). However,...
Detection and variable spraying of maize and weeds in residue covered fields via occlusion-aware modeling
June 2026
Straw mulching is an important practice in conservation tillage. Although it improves soil quality and moisture retention, it also creates strong occlusion between crops and weeds, which reduces the...
Detecting wheat powdery mildew through the integration of two-dimensional correlation spectra and dual-mode deep learning
June 2026
Accurate and timely monitoring of wheat powdery mildew (WPM) severity is essential for precision crop management and yield loss mitigation. Hyperspectral technology offers a non-destructive detection...
Design and implementation of a compact fresh tea-leaf sorting system for integrated harvesting–sorting equipment in hilly mountainous tea garden
June 2026
Mechanically harvested tea leaves show poor uniformity and cannot directly meet the raw material homogeneity required for famous tea processing. This study develops a compact fresh leaf sorting system...
How large-scale foundation models benefit precision livestock farming: A survey
June 2026
Precision Livestock Farming integrates advanced technologies such as the internet of things (IoT), artificial intelligence (AI), big data and machinery automation into traditional animal husbandry to...
Zero-shot crop segmentation via 3D depth-aware vision pipeline using unsupervised clustering
June 2026
Pixel-level crop segmentation is essential for precision agriculture yet remains severely constrained by the prohibitive cost and labor intensity of generating large-scale annotated datasets, a critical...
AI-based respiratory rate estimation in group-housed pigs infected with Mycoplasma hyopneumoniae under occlusion conditions
June 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...
AgriGaussian: A low-cost 3D reconstruction method for high-fidelity plant architecture analysis
June 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...
Integrative hormone-metabolite tracking reveals ultra-early immune responses to anthracnose in tea cultivars
June 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...
Decoupling canopy structure effects from vegetation indices for robust assessment of potato plant nitrogen content across growth stages
June 2026
Accurate monitoring of plant nitrogen concentration (PNC) is essential for precision nitrogen (N) fertilization management at the farm scale. While numerous vegetation indices (VIs) have been proposed...
EDSC-HRAFNet: An apple tree branch semantic segmentation model for harvesting robots under complex orchard conditions
June 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...
A hierarchical framework for cotton boll opening rate monitoring using UAV RGB imagery
June 2026
The cotton boll opening rate (CBOR) is a critical agronomic indicator determining yield and fiber quality. This study developed a hierarchical framework integrating unmanned aerial vehicle (UAV) RGB...
