报告详情
Renewable Energy-Powered IoT System for Plant Water Stress Monitoring
编号：200
访问权限：仅限参会人
更新：2026-11-10 17:08:11 浏览：13次
Online
报告开始：2026年11月21日 10:45（Asia/Kolkata）
报告时间：15min
所在会场：[S2] Internet of Things and Intelligent Sensing Systems [S2-1] Internet of Things and Intelligent Sensing Systems
暂无文件
摘要
When assessing irrigation requirements, plant-based measurements can be used in conjunction with soil-based measurements. This article presents a Proof of Concept (PoC) for an IoT based plant water-stress monitoring system with a stem electrical indicator, hybrid renewable energy technologies and integration of Plant Microbial Fuel Cells (PMFC) with solar panels. The LMC555 is used in the relaxation oscillator circuit that involves the embedding of stainless steel electrodes in the stem of tomato (Solanum lycopersicum), which modulate the output frequency of the oscillator when electrical path between the stem and electrodes changes, thereby, serving as an electrical indicator for monitoring the tomato plant at a threshold level. The ESP8266 Wi-Fi microcontroller transmits temperature, humidity, light, and a normalized indicator of electrical activity from the plant to ThingSpeak to be displayed on the cloud. A relay is used to automatically activate the irrigation pump for automatic irrigation when the electrical indication for the plants is less than the empirical 35% threshold value. The initial Proof of Concept (PoC) results indicate cloud documentation and threshold induced state shifts for 18 indoor readings. The hybrid PMFC–solar module with a regulated 5 V DC-DC buck-boost converter allowed the prototype to be operated during the brief assessment period, but the viability of energy independence has not yet been proven. The limitations, such as DC electrode polarization and a restricted testing period, are recognized, and more field trials are recommended as subsequent efforts. The present assessment cannot assess the accuracy of physiological stress identification or comparative water savings.
关键词
Plant water stress; IoT; stem impedance; PMFC; renewable energy; smart irrigation.
报告人
S BHARGAV
Research Scholar Pondicherry University稿件作者
全部评论
重要日期
-
会议日期
11月20日
2026
至11月22日
2026
-
10月31日 2026
初稿截稿日期
-
11月07日 2026
提前注册日期
-
11月22日 2026
注册截止日期
主办单位
United Societies of Science
承办单位
Pondicherry University
协办单位
IEEE Section
IEEE Madras Section
IEEE Madras Section
联系方式
- ICon INDIA 2026
- ic******@usssociety.org
发表评论