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...
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...
Synthesizing crop modelling and deep learning for remote estimation of wheat biomass dynamics from multispectral and weather observations
Available online 29 June 2026
Improving crop productivity while maintaining low environmental impact is essential for sustainable food production under increasing population pressure and irreversible climate changes. Dynamic biomass...
AI-driven precision chemical thinning system and evaluation method for variable-rate application in apple orchards
Available online 27 June 2026
Fruitlet thinning is essential for crop load management, as the number of fruits per tree directly influences final yield, fruit size, and quality. Conventional thinning methods often apply uniform...
Application of artificial intelligence in cattle disease diagnosis: A comprehensive review
Available online 27 June 2026
Cattle diseases severely threaten the global agricultural economy. Traditional disease management, heavily reliant on manual observation, is inherently delayed and subjective. Artificial intelligence...
Rethinking spot spraying perception frameworks: A real-time segmentation approach integrating crop contours and the weed index
Available online 26 June 2026
Precise perception of crops and weeds is crucial for spot-spraying weeding (SSW). However, existing methods rely heavily on manually annotated data and are susceptible to lighting variations in agricultural...
Pig3DNet: Multi-view 3D reconstruction with pig specific parametric body model for pig body measurements
Available online 15 June 2026
Accurate phenotypic measurement of pigs is critical for optimizing breeding strategies, enhancing production efficiency, and ensuring animal welfare in modern intensive livestock farming. Existing 3D...
PVDT: A smart tool for rapid detection of pollen viability
Available online 13 June 2026
Pollen viability is a critical determinant of maize reproductive capacity and genetic potential, directly influencing pollination efficiency, seed set, and overall crop yield. While traditional detection...
Explainable AI opens the black-box model of spectral technique to trace agro-products origin: The case of kiwifruit
Available online 11 June 2026
Currently, the methods for identifying agro-products origin usually focus on a single algorithm and overemphasize predictive performance at the expense of interpretability, which greatly hampers the...
Enhancing genomic selection models through manifold data augmentation in wheat and maize
Available online 11 June 2026
Genomic selection is a powerful tool for accelerating genetic gain in crop improvement; yet its effectiveness is often constrained by limited phenotypic datasets and suboptimal model generalizability...
Unsupervised geometry-driven DSM terrain correction for Rice seedling segmentation in flooded Paddy fields
Available online 11 June 2026
Rice seedlings in flooded paddy fields are small with low ground cover. Specular reflections and weakened texture features substantially compromise their distinguishability in remote sensing imagery....
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...
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...
