{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T15:02:53Z","timestamp":1777042973340,"version":"3.51.4"},"reference-count":27,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T00:00:00Z","timestamp":1733097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JSAN"],"abstract":"<jats:p>Smart farming is set to play a crucial role in the sustainable transformation of agriculture. The emergence of precision agriculture, facilitated by Internet of Things (IoT) platforms, makes effective communication among the various sensors and devices on farms essential. The development of smart sensors that utilize artificial intelligence (AI) algorithms for advanced edge computations only intensifies this need. Moreover, once data are collected, farmers frequently find it challenging to apply them effectively, especially in alignment with agroecological principles. In this context, this paper introduces an energy-efficient platform for embedded AI sensors that leverages the LoRaWAN network, along with a knowledge-based system to aid farmers in decision-making rooted in sensor data and agroecological practices. This paper focuses on the deployment of an end-to-end IoT platform that integrates a wireless sensor network (WSN), embedded AI, and a knowledge base.<\/jats:p>","DOI":"10.3390\/jsan13060083","type":"journal-article","created":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T10:07:10Z","timestamp":1733306830000},"page":"83","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Intelligent IoT Platform for Agroecology: Testbed"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8294-9276","authenticated-orcid":false,"given":"Naila","family":"Bouchemal","sequence":"first","affiliation":[{"name":"ECE\u2014Ecole d\u2019ing\u00e9nieurs\u2014Campus de Paris 1, 10 Rue Sextius Michel, 75015 Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicola","family":"Chollet","sequence":"additional","affiliation":[{"name":"ECE\u2014Ecole d\u2019ing\u00e9nieurs\u2014Campus de Paris 1, 10 Rue Sextius Michel, 75015 Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amar","family":"Ramdane-Cherif","sequence":"additional","affiliation":[{"name":"Laboratoire d\u2019Ing\u00e9nierie des Syst\u00e8mes de Versailles (LISV), 10 Av. de l\u2019Europe, 78140 V\u00e9lizy-Villacoublay, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,12,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1038\/nature10452","article-title":"Solutions for a cultivated planet","volume":"478","author":"Foley","year":"2011","journal-title":"Nature"},{"key":"ref_2","first-page":"338","article-title":"The impact of agricultural chemical inputs on environment: Global evidence from informetrics analysis and visualization","volume":"13","author":"Zhang","year":"2018","journal-title":"Int. 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