Growth Stage and Cultivar Influence the Interpretation of UAV-Derived NDVI for Potato Yield Assessment
研究不同品种和生育期下无人机NDVI与马铃薯产量的关系差异。
薯类与杂粮
马铃薯、甘薯、高粱、谷子、荞麦等薯类杂粮
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POTATO LATE BLIGHT CAUSED BY PHYTOPHTHORA INFESTANS: BIOLOGY,EPIDEMIOLOGY, CLIMATE CHANGE, AND SUSTAINABLE MANAGEMENT STRATEGIES
综述马铃薯晚疫病的生物学、流行学、气候变化影响及可持续防控策略。
Integrated nutrient management enhances multifunctional sustainability of fodder sorghum systems: An index-based multivariate assessment
Integrated nutrient management enhances multifunctional sustainability of fodder sorghum systems: An index-based multivariate assessment。Agricultural Systems
Detection of Potato Plant Leaf Diseases using Convolutional Neural Networks
提出轻量CNN实现马铃薯早疫病与晚疫病三分类，并在埃塞俄比亚田间验证。
Export competitiveness and indicative financial performance of quinoa in Ecuador and Bolivia: a comparative analysis
比较厄瓜多尔与玻利维亚2016-2024年藜麦出口竞争力及指示性财务表现。
Hybrid Deep Feature Extraction and Ensemble Machine Learning for Potato Leaf Disease Classification in Uncontrolled Field Conditions
融合三种CNN深度特征与集成学习，实现田间马铃薯叶片七类病害分类。
A longitudinal analysis of diet quality, groundwater depletion and glacier thicknesses with implications for the sustainable development goal 2
基于印度2000–2016年区级数据，分析饮食质量、地下水消耗与冰川消融对SDG2可持续性的影响。
Do varietal preferences reflect livelihood orientations? Evidence from sorghum farmers in Kenya
基于肯尼亚高粱农户离散选择实验，揭示品种偏好与生计导向的关联。
Determinants of farmers’ willingness to adopt technologies for the agroecological and precision management of potato pests and diseases in Rwanda
调查卢旺达223户马铃薯种植户，分析其采纳精准农业技术的意愿及影响因素。
UAV-based RGB imagery and supervised–unsupervised machine learning for estimating sorghum biomass and grain yield under water and nitrogen stress
用无人机RGB影像与机器学习估算水分氮胁迫下高粱生物量和产量。
Zenodo (CERN European Organization for Nuclear Research)·9月30日 · 周三75 分 论文薯类与杂粮农业人工智能与决策模型2 个信源同时报道 阅读 3
Lightweight Edge-AI Model for Real-Time Sorghum Disease Detection on Resource-Constrained Mobile Devices
开发轻量级边缘AI模型，在资源受限移动设备上实时检测高粱病害。
International Journal of Emerging Technologies and Innovative Research·9月30日 · 周三56 分 论文薯类与杂粮农业人工智能与决策模型4 个信源同时报道 阅读 3
An Integrated Computer Vision and Machine Learning Framework for Sorghum Disease Severity Assessment and Yield Prediction
融合计算机视觉与机器学习，实现高粱病害严重度评估与产量预测。
Improving drought tolerance and water use efficiency in dryland wheat and sorghum in the Texas High Plains
综述美国德州高平原旱地小麦和高粱提高耐旱性与水分利用效率的研究进展与挑战。
Drought vulnerability assessment and its severe impact on crop production and livelihood of people: An empirical modelling of northern Ghana
构建干旱脆弱性经验模型，评估加纳北部未来气候情景下作物与生计影响。
Beyond awareness: accounting for information exposure bias in adoption and income effects of Orange-Fleshed Sweet Potato technology among smallholder farming households in Nigeria
研究尼日利亚小农户信息接触偏差对橙肉甘薯技术采纳及收入的影响。
Timing Matters: Optimising the Early Blight Spraying Strategy in Potatoes in the Netherlands
基于25年试验分析马铃薯早疫病发病时间与产量损失，提出可减少约50%杀菌剂用量的精准喷施策略。
Explainable optimized deep learning and generative AI based framework for finger millet disease detection in smart agriculture
提出融合深度学习、可解释AI与生成式AI的指状粟病害检测框架，实现高精度识别与决策支持。
Proceedings of the International Association of Hydrological Sciences·9月16日 · 周三68 分 论文遥感与农情监测农业遥感与作物表型阅读 1
A remote sensing–based approach to the regionalization of socioeconomic indicators in an agricultural headwater catchment in Northern Benin
结合遥感与采样方法，将地块级社会经济指标区域化到贝宁北部农业流域。
AgroVisNet: A lightweight Convolutional Network and the BD-PlantDX Expert-Validated Benchmark for Radish, Potato and Pointed Gourd Disease Classification
提出轻量卷积网络AgroVisNet及专家验证的萝卜、马铃薯和尖瓜病害图像基准BD-PlantDX。
Bangladesh AI Model AgroVisNet Spots Crop Blight on Phones(轻量级 99.52% 准确率 0.46 MB 量化部署)
提出轻量网络AgroVisNet与BD-PlantDX数据集，实现手机端作物病害高精度识别。