Deep learning-based multi-view perception and adaptive grasp pose correction for cooperative dual-arm fruit harvesting under occlusion
Available online 1 October 2026
This study presents a failure-recovery cooperative harvesting pipeline for a dual-arm agricultural robot, where each arm harvests independently and switches to cooperative manipulation only when a single-view...
Research and trials on multi-pose picking of Sichuan pepper based on multi-task perception
Available online 1 October 2026
Compared to other fruits, Sichuan pepper is difficult to pick mechanically due to its long, sprawling branches, irregular growth pattern, prickly bark, and small fruit size. As a result, picking is...
UGV based multi-RGBD SLAM framework for high-throughput in-situ 3D phenotyping of field maize
Available online 1 October 2026
Accurate 3D reconstruction of maize populations under real-world field conditions is a prerequisite for individual-level trait in-situ extraction. Conventional visual mapping techniques frequently encounter...
Pixel-level high-throughput estimation of crop photosynthetic phenotyping parameters using a multi-task deep learning framework
Available online 1 October 2026
Hyperspectral remote sensing holds promise for estimating crop physiological and biochemical traits, yet conventional approaches are often constrained by small sample sizes, limited accuracy in multi-trait...
GLE-YOLOv11n: A lightweight network for real-time recognition of sheep behaviours in edge computing environments
Available online 1 October 2026
Real-time monitoring of sheep behaviour in large-scale sheep farms is crucial for precision livestock farming and can provide useful information for group-level welfare-related monitoring. Traditional...
YOLO11-FFTDA: fusing frequency-domain enhancement and deformable attention for robust tomato pedicel segmentation
September 2026
Precise detection and segmentation of tomato pedicels are critical perception tasks for automated harvesting by picking robots. Addressing challenges posed by complex orchard environments and loss of...
MHISR: A spatial-spectral fusion network for microscopic hyperspectral image super-resolution with application in rice disease evaluation
Available online 30 September 2026
Stomata are the primary microscopic entry points for Xanthomonas oryzae pv. oryzae (Xoo) invasion, serving as key physiological indicators for early and accurate disease diagnosis. Although microscopic...
Multi-objective optimization of photovoltaic array layouts on farmland via a hybrid algorithm framework for enhanced agricultural production and energy generation
Available online 17 September 2026
Agrivoltaic (AV) systems offer a promising approach for resolving land-use conflicts between food production and renewable energy generation. However, many existing AV designs give priority to energy...
Develop a multi-branch fusion deep learning model to estimate the winter wheat yields under extreme climate events
Available online 14 September 2026
Extreme climate events (ECEs) have a significant impact on crop yields. However, existing process-based models have restricted ability to accurately quantify the influences of ECEs on yields. Traditional...
Estimation of potato leaf area index using a hybrid CNN-LSTM architecture with transfer learning
Available online 13 September 2026
Leaf area index (LAI) serves as a critical biophysical parameter characterizing canopy structure and photosynthetic capacity, playing a vital role in potato growth monitoring. While visible and near-infrared...
From phenome to genome: A cloud-based AI platform for integrative rice grain analysis and genetic mapping to empower grain-focused crop improvement
Available online 8 September 2026
Rice (Oryza sativa L.) is a staple crop of global importance. Accurate assessment of yield-related traits is essential for improving productivity and ensuring global food security. To address the limitations...
Integrating explainable machine learning models with geospatial features to enhance the prediction of late-spring frost risks in apple production
Available online 7 September 2026
Late-spring frost during the flowering period is one of the most severe agro-meteorological disasters affecting apple production in China. Traditional low-temperature experiments and frost-risk index...
CropFusionNet: an interpretable deep learning framework for uncertainty-aware crop yield forecasting across Germany
Available online 5 September 2026
Escalating climate fluctuations and the increasing frequency of compound extreme weather events pose severe threats to global food security. Current operational crop yield forecasting systems, which...
Weed recognition and localization based on RGB-D object detection framework for weeding robot in Paeonia lactiflora Pall. fields
Available online 4 September 2026
The unchecked and rapid proliferation of weeds poses a substantial threat to Paeonia lactiflora Pall. (PLP) cultivation. Weed management in PLP fields currently relies primarily on manual weeding, which...
UGV-based multimodal RGBD–multispectral fusion framework enables high-quality 3D phenotyping of greenhouse lettuce seedlings
Available online 4 September 2026
High-throughput phenotyping of lettuce seedlings is highly prone to background confusion because the seedlings are small, have weak textural features, and exhibit spectral reflectance similar to that...
Artificial intelligence in modern agriculture: recent advances, challenges, and future directions: a systematic review
Available online 26 August 2026
Modern agriculture faces mounting challenges from climate change, population growth, water scarcity, soil degradation, and the need to sustain productivity. Artificial intelligence (AI) is transforming...
PD-CLIP: A contrastive language-image pre-training framework for zero-shot fine-grained plant disease diagnosis
Available online 25 August 2026
Accurate plant disease characterization is pivotal for precision agriculture, yet current deep learning approaches are constrained by costly real-world annotations, data scarcity, and the inherent “closed-set”...
From computer vision to LLM agents: A multimodal AI system for shrimp growth assessment and intelligent feeding decisions
Available online 24 August 2026
In the factory farming of Pacific white shrimp (Litopenaeus vannamei), automatic weight estimation and optimized feeding decisions are key to improving yield and economic benefits. However, variable...
GeoSphere-DETR: RGB-D citrus fruit detection in cluttered orchards via geometry-gated fusion and geometry-aware confidence recalibration
Available online 23 August 2026
Accurate fruit detection in cluttered orchard environments remains challenging due to visually similar background elements such as foliage and specular highlights, which lead to high false positive...
Adopting artificial intelligence for a circular economy in the agro-industrial sector: A critical review of past achievements and future directions
Available online 22 August 2026
The agro-industrial sector generates substantial waste, yet its transition toward circularity remains constrained by fragmented technological adoption and limited cross-stage integration. Artificial...
CaMT: Class-aware Multi-level Training Distillation for lightweight semantic segmentation in apple orchard
Available online 20 August 2026
Accurate semantic understanding of orchard environments is essential for enabling agricultural robots to perform navigation, monitoring, and autonomous operations under limited onboard computation....
EIT-based robotic tactile sensing for kiwifruit firmness estimation with spatiotemporal fusion
Available online 19 August 2026
Robotic grading of fruit requires reliable contact-based firmness sensing, as firmness is a key indicator of maturity and eating quality but is often difficult to infer from vision alone. This study...
Integrating SIF-derived parameters with three-band vegetation indices for quantifying maize leaf spot severity: a case study under field conditions
Available online 17 August 2026
Leaf spot disease, as a pervasive foliar disease, has become a significant factor limiting stable grain production. Rapid, accurate remote sensing of disease status supports precision prevention and...
Depth4PH: a vision foundation model-based framework for plant height estimation in agricultural scenes
Available online 16 August 2026
Plant height is a key 3D phenotypic trait for assessing crop growth, biomass accumulation, and lodging resistance. To overcome the practical limitations of conventional plant height measurement methods,...
Dynamic obstacle avoidance system for agricultural machinery based on multi-sensor fusion and the SAC-DWA
Available online 12 August 2026
Farmland is an unstructured and dynamic environment, where real-time detection and avoidance of moving obstacles are essential for the safe and autonomous operation of agricultural machinery. The Dynamic...
