Real-Time Crop Monitoring and Alert System using CropBot

Read full text
Authors: P. Kiranmayee, H. Divyani, G. Sai Nikhil, I.Anjali
Cited by: 0

Abstract

This paper explores a Real-Time Crop Monitoring and Alert System using Cropbot, designed to enhance agricultural productivity through continuous monitoring and timely alerts. The system integrates IoTbased platforms for data acquisition and analysis, employing sensors to measure soil moisture, temperature, and humidity in real time. After that, the gathered data is transferred to ThingSpeak for analysis and storage, and Blynk Cloud enables remote system control and monitoring. Additionally, Telegram is used to give farmers immediate warnings and alerts, guaranteeing proactive decision-making under unusual agricultural conditions. The prototype demonstrates reliability, scalability, making it a practical solution for precision agriculture and sustainable farming.

Fields of Study & Subjects

Smart Agriculture and AI Arduino and IoT Applications Water Quality Monitoring Technologies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 January 2026
Language
EN