A meta-learning with adversarial domain adaptation method for few-shot cross-region maize height and yield joint prediction
Available online 17 October 2026
High accuracy phenotypic prediction driven by genotype (G), environment (E) and their interactions is the foundation for precision crop breeding. However, under cross-region few-shot scenarios with...
AI-IoT architectures for dairy welfare assessment: multimodal monitoring, deployment constraints, and the emerging role of digital twins
Available online 15 October 2026
The intensification of dairy production has increased the need for continuous, transparent, and scientifically grounded animal welfare assessment. Artificial intelligence (AI) and the Internet of Things...
End-effector picking-pose estimation for tomato harvesting: a fusion approach combining instance segmentation and optimised point-cloud fitting
Available online 15 October 2026
Owing to dense fruit distribution and asynchronous ripening, large-fruited tomatoes are typically harvested on a single-fruit basis; however, in dense clusters, pedicels are frequently occluded and...
Real-time, robust, and highly accurate robotic grasp detection of fruits with variable sizes and shapes
Available online 15 October 2026
Grasping objects is a fundamental yet important capability of robots, and many tasks such as sorting and picking rely on this skill. The prerequisite for stable grasping is the ability to correctly...
CropINSs: A multi-objective irrigation and nitrogen scheduling optimization framework for silage maize based on coupling remote sensing and crop models
Available online 15 October 2026
Developing efficient irrigation and nitrogen schedules (INSs) at regional scales remains challenging due to spatial heterogeneity in climate, soil conditions, and crop growth dynamics, which limits...
Self-supervised learning for crop yield prediction across diversified cropping systems
Available online 14 October 2026
Supervised learning models have shown promise for crop classification and yield prediction using RGB drone imagery. They require large, labeled datasets for training, but this remains challenging in...
Integrating large multi-modal models for automated powdery mildew phenotyping in grapevines
Available online 7 October 2026
Powdery mildew is a major fungal disease of grapevines, yet its field quantification remains constrained by subjective visual assessments, inconsistent scoring protocols, and the high cost of annotated...
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...
