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社论:特刊“农业新兴传感器技术”

Editorial: Special Issue "Emerging Sensor Technology in Agriculture".

机构信息

Department of Viticulture and Oenology, Faculty of AgriSciences, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa.

Digital Agriculture, Food and Wine Sciences Group, School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Melbourne, VIC 3010, Australia.

出版信息

Sensors (Basel). 2020 Jul 9;20(14):3827. doi: 10.3390/s20143827.

DOI:10.3390/s20143827
PMID:32659990
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7411579/
Abstract

Research and innovation activities in the area of sensor technology can accelerate the adoption of new and emerging digital tools in the agricultural sector by the implementation of precision farming practices such as remote sensing, operations, and real-time monitoring [...].

摘要

传感器技术领域的研究和创新活动,可以通过实施遥感、操作和实时监测等精准农业实践,加速新的和新兴的数字工具在农业领域的采用。

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A Non-Invasive Method Based on Computer Vision for Grapevine Cluster Compactness Assessment Using a Mobile Sensing Platform under Field Conditions.一种基于计算机视觉的非侵入性方法,用于在田间条件下使用移动传感平台评估葡萄串紧密度
Sensors (Basel). 2019 Sep 2;19(17):3799. doi: 10.3390/s19173799.
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Investigating 2-D and 3-D Proximal Remote Sensing Techniques for Vineyard Yield Estimation.研究用于葡萄园产量估计的二维和三维近端遥感技术。
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Non-Invasive Tools to Detect Smoke Contamination in Grapevine Canopies, Berries and Wine: A Remote Sensing and Machine Learning Modeling Approach.非侵入式工具检测葡萄藤冠层、浆果和葡萄酒中的烟雾污染:遥感和机器学习建模方法。
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