PII-CNN-LSTM: A multi-modal deep learning framework integrating novel pollination importance index for predicting optimal apple pollination windows
June 2026
Pollination optimization in apple orchards faces increasing challenges from climate variability and declining pollinator populations, necessitating precision timing strategies. This study introduces...
Integrating hyperspectral radiation transfer modeling and deep transfer learning to estimate nitrogen density in winter wheat canopies
June 2026
Nitrogen is a core element that regulates winter wheat yield and quality, and its precise monitoring is crucial for sustainable agricultural development. Traditional empirical methods and physical inversion...
Optimized modular transfer learning framework integrating PROSAIL and UAV-based hyperspectral reconstruction for cotton canopy water and nitrogen content retrieval
June 2026
Optimizing water and fertilizer management is crucial for improving cotton yield and quality. However, reliable and generalizable models for quickly and accurately estimating cotton canopy leaves water...
YOLO-GPP: End-to-end prediction of the grasp position and pose on tomato peduncle for robotic harvesting
June 2026
A high fresh fruit harvesting success rate relies on the real-time and precise determination of the optimal grasping position and pose of the target fruit. This study proposes an end-to-end grasp pose...
MA-UQNet: A multi-modal uncertainty quantification neural network for remote sensing-based wheat aboveground biomass estimation
June 2026
Accurate aboveground biomass estimation with quantified uncertainty is essential for precision agriculture, enabling risk-aware decision-making and strategic model improvement. Existing approaches predominantly...
Transformer-based cross-view LiDAR–orthomosaic fusion for geo-localization and digital modeling in apple orchards
June 2026
Precision agriculture increasingly relies on accurate large-scale localization and digital modeling for autonomous tasks in orchards. However, map drift and localization uncertainty under GNSS-limited...
Recent advances in crop pest detection, forecasting and early warning: A review
June 2026
Crop insect pests are critical biotic stressors disrupting plant physiological functions. Their infestations not only cause direct yield losses but also threaten global food security and agricultural...
Evaluation of Multi-Object Detection models for automated goat behavior identification in intensive farming facilities
June 2026
Computer vision offers significant potential for the continuous, stress-free, and cost-effective monitoring of animal behavior, yet its application in goat farming remains limited. In this study, a...
An integrated time series modeling and computer vision framework for predictive structure characterization of extruded plant-based meat products
June 2026
Plant-based meat extrusion is a complex multi-stage process involving dynamic interactions among raw materials, operational parameters, and resulting product structure. Maintaining consistent product...
Multimodal remote sensing combination for maize LAI estimation: Stacking model development and phenology-specific feature sensitivity analysis
June 2026
Leaf Area Index (LAI) is a key biophysical parameter for characterizing canopy structure, playing a critical role in precision agricultural monitoring and management. However, traditional optical remote...
Can generative AI make farming decisions? Current status and future pathways – A case study in row crop production with ChatGPT
June 2026
The agricultural decision-making process is experience-based, knowledge-dependent, time-sensitive, complex, and driven by historical data. Planting, fertilization, irrigation, and chemigation are key...
Leveraging artificial intelligence and evolutionary algorithms for optimising cow supplementation and milk production
June 2026
Efficient allocation of grain-based concentrate is essential for maximising milk yield and improving profitability in dairy farming. This study optimised concentrate allocation for dairy cows by integrating...
Empowering Chinese medicinal agriculture through AI-driven technologies: A comprehensive review
June 2026
Traditional Chinese medicine, with its rich history and profound influence on healthcare, is deeply rooted in medicinal plants, which serve as the foundation for Chinese herbal medicines (CHMs). However,...
AgriMAPO: A multimodal automatic prompt optimization approach for crop disease classification using large language models
June 2026
Accurate identification of crop diseases is a core challenge in promoting precision agriculture and reducing yield losses. Current deep learning-based recognition methods heavily rely on large-scale...
AELVI-SLAM: LiDAR–visual–inertial SLAM for autonomous exploration in multiple agricultural scenarios
June 2026
Accurate simultaneous localization and mapping (SLAM) algorithms are essential for enhancing the operational efficiency of agricultural robots. However, existing SLAM methods are vulnerable to dynamic...
Detecting wheat powdery mildew through the integration of two-dimensional correlation spectra and dual-mode deep learning
June 2026
Accurate and timely monitoring of wheat powdery mildew (WPM) severity is essential for precision crop management and yield loss mitigation. Hyperspectral technology offers a non-destructive detection...
From plots to region: Machine learning-based UAV-satellite integration for mapping fractional coverage of peanut southern blight
June 2026
Peanut southern blight (PSB), a soil-borne fungal disease, threatens peanut production. Because PSB originates at the root collar, canopy symptoms develop gradually and subtly, limiting satellite monitoring....
Design and implementation of a compact fresh tea-leaf sorting system for integrated harvesting–sorting equipment in hilly mountainous tea garden
Available online 21 April 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...
Combining transfer learning and hyperspectral data to identify the severity of mild Fusarium head blight infection in wheat
Available online 20 April 2026
Accurately identifying mildly infected wheat Fusarium head blight (FHB) is crucial for early disease monitoring. However, the weak spectral signals from mildly infected wheat significantly limit the...
Seed imaging omics: A bridge from perception to cognition for the future of seed phenotyping
Available online 18 April 2026
Seeds are complex living systems that display rich diversity in morphology, physiology, biochemistry, and genetics. Yet phenotyping during seed dormancy remains hampered by limited imaging modalities,...
Advancing the prediction of nitrogen utilization efficiency in wheat by integrating high-throughput phenotyping into the WheatGrow model
Available online 15 April 2026
Accurate prediction of nitrogen utilization efficiency (NUtE) is critical for breeding nitrogen-efficient crop cultivars and optimizing field nitrogen management. Traditional prediction methods are...
An apple tree pruning robot system based on branch segmentation and decision-making control
Available online 15 April 2026
Intelligent pruning is an important part of smart orchard management operations, and the study of intelligent pruning robot is of great significance for the construction of smart orchards. This paper...
Detection and variable spraying of maize and weeds in residue covered fields via occlusion-aware modeling
Available online 10 April 2026
Straw mulching is an important practice in conservation tillage. Although it improves soil quality and moisture retention, it also creates strong occlusion between crops and weeds, which reduces the...
Distributed crop disease detection with deep Q-network agent decision-making in a compressed state space
Available online 6 April 2026
Crop disease detection is vital for reducing agricultural losses. Traditional centralized methods face challenges with data privacy and model performance. Distributed learning offers a promising alternative,...
Optimization and evaluation of weed control performance in variable-rate patch spraying in field: Small-scale prescription operation
Available online 1 April 2026
Weed management is an important means to ensure crop production, and the extensive use of herbicides destroys the ecological balance of farmland and enhances weed resistance. In this paper, an intelligent...