Multimodal remote sensing combination for maize LAI estimation: Stacking model development and phenology-specific feature sensitivity analysis
June 2026
Leaf Area Index (LAI) is a key biophysical parameter for characterizing canopy structure, playing a critical role in precision agricultural monitoring and management. However, traditional optical remote...
Distributed crop disease detection with deep Q-network agent decision-making in a compressed state space
June 2026
Crop disease detection is vital for reducing agricultural losses. Traditional centralized methods face challenges with data privacy and model performance. Distributed learning offers a promising alternative,...
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,...
AgriMAPO: A multimodal automatic prompt optimization approach for crop disease classification using large language models
June 2026
Accurate identification of crop diseases is a core challenge in promoting precision agriculture and reducing yield losses. Current deep learning-based recognition methods heavily rely on large-scale...
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...
AELVI-SLAM: LiDAR–visual–inertial SLAM for autonomous exploration in multiple agricultural scenarios
June 2026
Accurate simultaneous localization and mapping (SLAM) algorithms are essential for enhancing the operational efficiency of agricultural robots. However, existing SLAM methods are vulnerable to dynamic...
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...
From plots to region: Machine learning-based UAV-satellite integration for mapping fractional coverage of peanut southern blight
June 2026
Peanut southern blight (PSB), a soil-borne fungal disease, threatens peanut production. Because PSB originates at the root collar, canopy symptoms develop gradually and subtly, limiting satellite monitoring....
Advancing the prediction of nitrogen utilization efficiency in wheat by integrating high-throughput phenotyping into the WheatGrow model
June 2026
Accurate prediction of nitrogen utilization efficiency (NUtE) is critical for breeding nitrogen-efficient crop cultivars and optimizing field nitrogen management. Traditional prediction methods are...
An apple tree pruning robot system based on branch segmentation and decision-making control
June 2026
Intelligent pruning is an important part of smart orchard management operations, and the study of intelligent pruning robot is of great significance for the construction of smart orchards. This paper...
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...
Soil knowledge-guided multi-task transformer model for predicting soil properties and crop traits with early warning alerts
June 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...
Spatial pose estimation of apples for robotic harvesting
June 2026
In the apple picking process, the existing robots are unable to accurately estimate the pose of apples. This often leads to damage to the fruits, branches, and even the robot fingers during grasping,...
YOLOSc-SAM: An acceptable extraction method for farmland regions in remote sensing images using SAM
June 2026
Farmland is a core spatial unit in agricultural production management, and accurately delineating farmland boundaries is of great significance for agricultural resource surveys and cropland monitoring....
A disease-aware dual-task deep learning framework for robust LAI estimation using UAV multispectral and ground hyperspectral data
Available online 30 June 2026
Maize diseases significantly impact canopy photosynthesis and structural traits, leading to reduced crop productivity and altered biophysical parameters such as leaf area index (LAI). Hyperspectral...
Robotic purification for large-scale seed production of hybrid rice
Available online 30 June 2026
China is a principal region for hybrid rice cultivation, with an approximate cultivation area of 160,000 ha dedicated to hybrid rice breeding. Ensuring genetic purity, quality, and yield consistency...