BaciCausalLM: A lightweight causal-reasoning large language model for Bacillus-based agricultural biomanufacturing
September 2026
The genus Bacillus provides important microbial cell factories for bioactive metabolite production in agricultural biomanufacturing, yet optimization of metabolic regulation and fermentation processes...
Integrating machine learning and large language models to enhance risk assessment and priority management for plant biosecurity
September 2026
Global food security and biosecurity are continually threatened by the prevalence and spread of plant pests with the ever-accelerating rate of global trade. The continuous advancement of artificial...
Point transformer-based 3D segmentation and phenotypic trait analysis of cotton plants with foliage
September 2026
High-resolution point clouds provide detailed three-dimensional (3D) spatial information about cotton plants, making them valuable for analyzing complex architectural traits. However, segmentation of...
Hyperspectral–machine learning framework enables early and non-destructive prediction of plant resistance to pest
September 2026
The brown planthopper (Nilaparvata lugens) is one of the most destructive pests of rice and poses a threat to yield stability and food security. Although host-plant resistance is the most sustainable...
From on-device vision to assisted harvesting: A lightweight real-time ripeness evaluation system for truss-harvested cherry tomatoes on augmented reality glasses
September 2026
The transition from experience-driven manual harvesting to data-driven intelligent management represents a pivotal shift in modern facility agriculture. However, the widespread adoption of fully autonomous...
CNN-enabled roguing implement for parental-line management and purity assurance in hybrid rapeseed via a mobile field robot
September 2026
Off-type plants in hybrid rapeseed compromise genetic purity, reduce seed yield and uniformity, and may jeopardize certification. Maintaining high-purity seed lots therefore requires early, reliable...
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...
Adopting artificial intelligence for a circular economy in the agro-industrial sector: A critical review of past achievements and future directions
September 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...
Mix-soil-spectra: Near-infrared spectroscopy combined with contrastive and ensemble learning for accurate prediction of soil organic matter and total nitrogen
September 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...
PSB-diff: A Bernoulli diffusion segmentation framework based on rice seedling root point annotations for centimeter level row extraction
September 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...
Explainable AI opens the black-box model of spectral technique to trace agro-products origin
September 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...
Toward autonomous agriculture: Integrating computer vision and large language models for intelligent weed management
September 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...
Research on tomato object all-day detection and occlusion scenario analysis methods
September 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...
A 3D phenotypic framework for cotton: From platform construction to systematic digital architecture classification
September 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...
PVDT: A smart tool for rapid detection of pollen viability
September 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...
Enhancing genomic selection models through manifold data augmentation in wheat and maize
September 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...
CTNet: A cognitive-inspired TriPercept CrossFusion self-distillation model for image classification in agricultural field
September 2026
In agricultural artificial intelligence image classification tasks, existing models often exhibit redundant feature extraction and limited generalization capability. To address these practical demands...
Vision-based early fault diagnosis and self-recovery for strawberry harvesting robots
September 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...
Unsupervised geometry-driven DSM terrain correction for Rice seedling segmentation in flooded Paddy fields
September 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....
Rethinking spot spraying perception frameworks: A real-time segmentation approach integrating crop contours and the weed index
September 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...
AI-driven precision chemical thinning system and evaluation method for variable-rate application in apple orchards
September 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...
Synthesizing crop modelling and deep learning for remote estimation of wheat biomass dynamics from multispectral and weather observations
September 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...
A disease-aware dual-task deep learning framework for robust LAI estimation using UAV multispectral and ground hyperspectral data
September 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
September 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...
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...