IoT-Based Smart Agriculture Monitoring System
Abstract
An IoT system using soil moisture sensors, temperature sensors, and weather data to automate irrigation and send crop health recommendations to farmers via mobile app.
Price
₹9,999
Problem
Farmers in India rely on manual irrigation scheduling, leading to water wastage, crop damage, and reduced yields. Lack of real-time soil and weather data prevents informed decision-making.
Solution
The system uses a network of IoT sensors (soil moisture, temperature, humidity, pH) deployed across the field, connected to a central gateway via LoRa/ZigBee. Data is processed on a cloud platform using ML algorithms to predict irrigation needs and send recommendations to farmers via Android/iOS mobile app with push notifications.
Patent Claims
An IoT-based agriculture monitoring system comprising: sensor nodes, a communication gateway, a cloud processing platform, and a mobile application.
The system of claim 1, wherein sensor nodes measure soil moisture, temperature, humidity, and pH levels at configurable intervals.
The system of claim 1, wherein the cloud platform uses machine learning to predict irrigation schedules based on sensor data and weather forecasts.
The system of claim 1, wherein the mobile application provides real-time crop health recommendations and irrigation alerts to farmers.