International Journal of Innovative Science and Research Technology (IJISRT)·9月15日 · 周二56 分 论文智慧农业 / 农业物联网阅读 0
Satellite Positioning-Based Precision Irrigation and Crop Health Monitoring System
开发基于ESP32和GPS的低成本精准灌溉与作物健康监测系统，实现空间标记与节水。
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智慧农业 精准灌溉
Automated Machine Learning-Driven UAV Remote Sensing for Accurate Winter Wheat Water Content Prediction
用无人机多光谱、RGB和热红外遥感结合AutoML预测冬小麦含水量。
Effects of Noise on the Accuracy of Estimating Rootzone Total Soil Moisture Using a Non‐Linear Autoregressive Exogenous Machine Learning Model for Precision Agriculture
该论文评估了测量噪声对NARX机器学习模型估算根区土壤水分动态精度的影响。
Machine Learning-Based Prediction of Soil Moisture in Sikkim's High-Rainfall Zones Using Multimodal Remote Sensing Data
用多模态遥感与机器学习预测印度锡金高降雨区表层土壤水分。
Estimation of field-scale crop evapotranspiration from the mechanistic SIF-ET model using the UAV hyperspectral imagery
利用无人机高光谱影像构建田间尺度SIF-ET机理模型，实现作物蒸散发高精度估算。
Zenodo (CERN European Organization for Nuclear Research)·9月12日 · 周六85 分 论文智慧农业 / 农业物联网2 个信源同时报道 阅读 0
MridAI: Autonomous Edge-to-Conversational IoT for Democratising Precision Agriculture via Neuro-Symbolic Telemetry
提出低成本自主地下物联网节点与神经符号AI咨询管道，让小农户用WhatsApp获取精准农业建议。
Bridging canopy light interception and absorption: Toward a multi-scale radiometric framework for precision irrigation in woody crops
综述木质作物冠层光截获与吸收关系，提出多尺度辐射框架支撑精准灌溉。
International Journal for Research in Applied Science and Engineering Technology·9月8日 · 周二66 分 论文智慧农业 / 农业物联网阅读 0
AI-Enabled Precision Irrigation for Water-Efficient and Sustainable Agriculture
提出AI驱动的Arduino和树莓派灌溉系统，实现实时监测与自动灌溉，节水35%。
A novel surface reflectance calibration approach to improve the estimation of maize actual evapotranspiration in a semi-arid USA region
提出地表反射率校准方法，结合机器学习与双源像素分解，提高半干旱区玉米蒸散发估算精度。
Continuous monitoring of deficit irrigation in avocado across two contrasting rainfall years using sensor networks, telemetry, and machine learning
通过传感器、遥感和机器学习连续监测两年不同降雨下鳄梨的亏缺灌溉响应。
Physiological and Spectral Responses of Centella asiatica (L.) to Drought Stress: Implications for Growth, Yield, Stress Monitoring, and Modeling
研究干旱胁迫对积雪草生长、生理和光谱响应的影响，并建立预测模型。
Cognitive UAV-driven agro-surveillance framework for predicting crop stress–induced yield loss using spatio-temporal learning and adaptive irrigation control
提出认知无人机农业监测框架，用时空学习和强化学习预测作物胁迫并优化灌溉。