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...
Vision-based early fault diagnosis and self-recovery for strawberry harvesting robots
Available online 2 June 2026
Strawberry-harvesting robots faced challenges such as poor visual perception, gripper misalignment, empty grasp/misgrasp, and slippage, which reduced harvesting stability and efficiency. To overcome...
Toward autonomous agriculture: Integrating computer vision and large language models for intelligent weed management
Available online 30 May 2026
Weed diagnosis and management in agricultural fields still rely heavily on manual observation and expert knowledge, resulting in limited efficiency, accessibility, and decision interactivity. Although...
A 3D phenotypic framework for cotton: From platform construction to systematic digital architecture classification
Available online 30 May 2026
Plant architecture, defined as the three-dimensional structure and spatial arrangement of plant organs, is a key agronomic trait that strongly influences crop yield. However, the architectural complexity...
CTNet: A cognitive-inspired TriPercept CrossFusion self-distillation model for image classification in agricultural field
Available online 30 May 2026
In agricultural artificial intelligence image classification tasks, existing models often exhibit redundant feature extraction and limited generalization capability. To address these practical demands...
Research on tomato object all-day detection and occlusion scenario analysis methods
Available online 28 May 2026
All-day detection and occlusion scenario analysis are critical vision techniques to ensure the continuous operation of tomato-picking robots. Most detection algorithms struggle with varying weather...
PSB-diff: A Bernoulli diffusion segmentation framework based on rice seedling root point annotations for centimeter level row extraction
Available online 27 May 2026
Precise extraction of rice seedling rows from field-scale unmanned aerial vehicle (UAV) orthomosaics is crucial for precision agriculture. Existing methods typically rely on pixel-wise semantic segmentation...
GrasshopperML: A mechanism-guided machine learning framework with combinatorial optimization for grasshopper risk warning
Available online 27 May 2026
Grasshoppers pose a serious threat to agriculture, livestock and grassland ecosystem, necessitating accurate risk warning. Existing methods often overlook grasshopper ecological mechanisms and the impacts...
Mix-soil-spectra: Near-infrared spectroscopy combined with contrastive and ensemble learning for accurate prediction of soil organic matter and total nitrogen
Available online 27 April 2026
Accurate and timely quantification of soil total nitrogen (TN) and organic matter (OM) is critical for sustaining crop growth, improving yield, and supporting smart agriculture. Near-infrared spectroscopy...
Development of an enhanced hybrid attention YOLOv8s small object detection method for phenotypic analysis of root nodules
March 2026
Nodule formation and their involvement in biological nitrogen fixation are critical features of leguminous plants, with phenotypic characteristics closely linked to plant growth and nitrogen fixation...
A perspective analysis of imaging-based monitoring systems in precision viticulture: Technologies, intelligent data analyses and research challenges
March 2026
This paper presents a comprehensive review of recent advancements in intelligent monitoring systems within the precision viticulture sector. These systems have the potential to make agricultural production...
Multivariate stacked regression pipeline to estimate correlated macro and micronutrients in potato plants using visible and near-infrared reflectance spectra
March 2026
The ability to sense nutrient status in potato plants using spectroscopy has several merits including the ability to proactively respond to deficiencies of certain elements. While research so far has...
A comprehensive review of obstacle avoidance for autonomous agricultural machinery in multi-operational environment
March 2026
As automation becomes increasingly adopted to mitigate labor shortages and boost productivity, autonomous technologies such as tractors, drones, and robotic devices are being utilized for various tasks...
Multi-stage fusion of dual attention mask R-CNN and geometric filtering for fast and accurate localization of occluded apples
March 2026
In unstructured orchard environments, factors such as complex lighting, fruit occlusion, and fruit clustering significantly reduce the accuracy of apple detection and 3D localization in robotic harvesting...
STGMAE: A GNSS data-driven pre-training spatiotemporal graph masked autoencoder for agricultural machinery trajectory operation mode identification
March 2026
Utilizing spatiotemporal features in massive amounts of trajectory data to identify the operation mode of agricultural machinery trajectories is a key task in precision agriculture. Most of the previous...
Utilizing interpretable machine learning algorithms and multiple features from multi-temporal Sentinel-2 imagery for predicting wheat fusarium head blight
March 2026
Wheat Fusarium head blight (FHB) severely affects wheat yields, and predicting its occurrence and spatial distribution is essential for safeguarding crop production. This study presents an interpretable...
Energy-saving and stability-enhancing control for unmanned distributed drive electric plant protection vehicle based on active torque distribution
March 2026
The distributed drive electric plant protection vehicle (DDEPPV), equipped with a unique four-wheel independent drive system, demonstrates excellent path-tracking capability and dynamic performance...
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...
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...
Adaptive compensation method for navigation positioning errors considering the vibration characteristics of a combine harvester
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...
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...