Smart Irrigation System for Precision Agriculture—The AREThOU5A IoT Platform

التفاصيل البيبلوغرافية
العنوان: Smart Irrigation System for Precision Agriculture—The AREThOU5A IoT Platform
المؤلفون: Achilles D. Boursianis, Sotirios K. Goudos, Antonis G. Gotsis, Shaohua Wan, Maria Papadopoulou, Panagiotis Sarigiannidis, Spyridon Nikolaidis
المصدر: IEEE Sensors Journal. 21:17539-17547
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE), 2021.
سنة النشر: 2021
مصطلحات موضوعية: business.industry, Computer science, Node (networking), 010401 analytical chemistry, 01 natural sciences, 0104 chemical sciences, Rectenna, Intelligent sensor, Embedded system, Sustainable agriculture, Key (cryptography), Wireless, Precision agriculture, Electrical and Electronic Engineering, business, Instrumentation, Wireless sensor network
الوصف: Agriculture 4.0, as the future of farming technology, includes several key enabling technologies towards sustainable agriculture. The use of state-of-the-art technologies, such as the Internet of Things, transform traditional cultivation practices, like irrigation, to modern solutions of precision agriculture. In this paper, we present in detail the subsystems and the architecture of an intelligent irrigation system for precision agriculture, the AREThOU5A IoT platform. We describe the operation of the IoT node that is utilized in the platform. Moreover, we apply the radiofrequency energy harvesting technique to the presented IoT platform, as an alternative technique to deliver power to the IoT node of the platform. To this end, we fabricate and validate a rectenna module for radiofrequency energy harvesting. Experimental results of the fabricated rectenna exhibit a satisfactory performance as a harvester of ambient sources in an outdoor environment.
تدمد: 2379-9153
1530-437X
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::d982882cf6a8507283e7cef11f45aa1fTest
https://doi.org/10.1109/jsen.2020.3033526Test
حقوق: CLOSED
رقم الانضمام: edsair.doi...........d982882cf6a8507283e7cef11f45aa1f
قاعدة البيانات: OpenAIRE