Research Article
A Holistic IoT-Based Approach for Smart Farming for Irrigation Optimization and Leaf Disease Detection
@INPROCEEDINGS{10.4108/eai.28-4-2025.2358024, author={N. Gireesh and Kottapalli Haritha and Majjari Anand kumar and K. Srinivasulu and Maddela Abhinay Abraham Kanaka Prakash}, title={A Holistic IoT-Based Approach for Smart Farming for Irrigation Optimization and Leaf Disease Detection}, proceedings={Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part II}, publisher={EAI}, proceedings_a={ICITSM PART II}, year={2025}, month={10}, keywords={nodemcu alert ph sensor lcd iot}, doi={10.4108/eai.28-4-2025.2358024} }- N. Gireesh
Kottapalli Haritha
Majjari Anand kumar
K. Srinivasulu
Maddela Abhinay Abraham Kanaka Prakash
Year: 2025
A Holistic IoT-Based Approach for Smart Farming for Irrigation Optimization and Leaf Disease Detection
ICITSM PART II
EAI
DOI: 10.4108/eai.28-4-2025.2358024
Abstract
The "A Holistic IoT-Based Approach for Smart Farming for Irrigation Optimization and Leaf Disease Detection" is an advanced solution aimed at optimizing water usage and promoting healthy crop growth through automated monitoring and control. The system integrates a soil moisture sensor to detect dryness and activate the water inlet pump, while a pH sensor ensures water quality by controlling the outlet pump when pH levels are unsuitable. It also features an LDR for measuring light intensity, an MQ135 sensor for monitoring air quality, and a DHT11 sensor for tracking temperature and humidity. An Arduino Mega microcontroller processes the sensor data, which is displayed on an LCD. A USB camera is attached to take a photo of the leaf disease. Problem Statement: This project detects the plant diseases and it also recommends the pesticides for plant disease. It helps farmers act quickly to safeguard crops. Live data is sent to the Thing Speak servers via a NodeMCU, and there is a Bluetooth interface to a mobile app. GSM alerts for abnormal condition ensure dual-pump use and complete monitoring to save energy, lower labor and promote concept of sustainable farming.
