An Innovative Smart and Sustainable Low-Cost Irrigation System for Anomaly Detection Using Deep Learning.

ABSTRACT: The agricultural sector faces several difficulties today in ensuring the safety of food supply, including water scarcity. This study presents the design and development of a low-cost and full-featured fog-IoT/AI system targeted towards smallholder farmer communities (SFCs). However, the smallholder community is hesitant to adopt technology-based solutions. There are many overwhelming reasons for this, but the high cost, implementation complexity, and malfunctioning sensors cause inappropriate decisions. The PRIMA INTEL-IRRIS project aims to make digital and innovative agricultural technologies more appealing and available to these communities by advancing the intelligent irrigation "in-the-box" concept. Considered a vital resource, collected data are used to detect anomalies or abnormal be

SUBMITTER: Benameur R 

PROVIDER: S-EPMC10892454 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature