Apple quality and soil biological diversity in long-term organic and IPM apple orchards
比较长期有机与IPM苹果园的果实品质和土壤生物多样性。
果树
苹果、柑橘、猕猴桃、葡萄、热带亚热带果树
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Farm-level technical efficiency in temperate horticulture: evidence from apple, pear, and cherry growers
评估克什米尔谷地苹果、梨、樱桃种植户的技术效率及其影响因素。
From symbolic to substantive: How subsidy design shapes cooperative roles and high-quality rural industrial development?
用三方演化博弈分析补贴设计如何影响合作社行为与农村产业高质量发展。
A HIERARCHICAL DISTRIBUTED EDGE AI FRAMEWORK FOR REAL-TIME APPLE LEAF DISEASE CLASSIFICATION
提出两级边缘AI框架，用RGB图像实时分类苹果叶片病害。
高志永团队《基于特征优选与优化算法的干热河谷区柑橘蒸腾模拟》
用特征优选与优化算法模拟干热河谷区柑橘蒸腾。
DefoliationCAM:面向葡萄藤食叶严重度实时评估的边缘AI系统 [预印本]
提出太阳能边缘AI系统DefoliationCAM，实时评估葡萄藤食叶严重度并远程传输。
Hierarchical cross-modal spatiotemporal attention network for crop yield prediction in complex Himalayan agroecosystems
提出分层跨模态时空注意力网络HCM-STAN，融合多源农业数据预测喜马拉雅山区苹果产量。
Asymptomatic colonization by Botrytis cinerea reveals polarized plant-fungus interfaces before widespread disease
构建拟南芥幼苗病理系统，揭示灰霉病菌无症状定殖期的植物-真菌互作。
A Distributed Multirobot Architecture for Decoupled Inspection and Localized Treatment in Precision Agriculture
提出分布式多机器人架构，在葡萄园实现异步巡检与精准治疗。
Cover plants fixed large amounts of atmospheric N, contributing to the N balance in irrigated fruit crops in the Brazilian semiarid region
在巴西半干旱灌溉果园测试覆盖作物，发现其固氮量可抵消果实氮输出。
Early Detection of Apple Scab in Orchards and Mildew in Vineyards Using A Novel Deep Learning Model and Multispectral Imagery
提出一种基于无人机多光谱时序影像的深度学习混合模型，实现苹果黑星病和葡萄霉病的早期检测与分割。
An empirical performance comparison of deep learning models for apple leaf disease recognition
用UNet++分割苹果病叶并融合多种CNN与ViT分类，实现98.85%识别准确率。
Sentinel-2 NDVI as an indicator of apple orchard yield
评估Sentinel-2 NDVI与苹果园产量的关系，发现仅单一品种同龄地块存在可靠相关。
基于光合最佳效能点的设施葡萄动态节能补光调控方法
提出基于光合最佳效能点的设施葡萄动态补光调控方法，实现节能与增产。
From Downstream Demand to Upstream Innovation: How a Digital Platform Coordinates Agri-Food Value Chain Upgrading—The Case of Taotian Digital Agriculture
基于淘天即食猕猴桃案例，揭示数字平台以需求驱动农业食品价值链升级的机制。
Zenodo (CERN European Organization for Nuclear Research)·10月4日 · 周日67 分 论文果树数字乡村与农业信息化2 个信源同时报道 阅读 1
Detection of Apple Plant Diseases Using Leaf Images through Convolutional Neural Network
提出ResNet+GA+CNN混合模型，用苹果叶片图像检测病害并计算病斑面积占比。
Growth, instability and adoption trends of natural farming in apple cultivation in Himachal Pradesh, India
分析印度喜马偕尔邦苹果常规与自然 farming 的面积趋势、不稳定性及采用动态。
Design and evaluation of a hybrid fin-ray finger with inflatable soft pads for apple harvesting under leaf interference
设计并验证了一种集成充气软垫的混合Fin-Ray手指，用于苹果采摘时自适应、防损伤抓取。
华中农业大学柑橘类果实泛化识别与定位研究——YOLOv8n-Light轻量化部署
提出YOLOv8n-Light轻量化模型，实现橙橘柚三种柑橘果实泛化识别与定位，并部署于树莓派和采摘
Preliminary Assessment of Aphid Risk Using Smart Agriculture Station Data in a Nectarine Orchard: A Case Study from Nurdağı/Gedikli, Türkiye
利用智慧农业站数据评估油桃园蚜虫风险，发现10月为高风险期。