Name: SMART AGRO MESH
SKU: 3136
Availability: InStock

SMART AGRO MESH

This project introduces a solar-powered IoT Smart Farm Network designed to help small-scale farmers access real-time, field-level weather and soil data. Using simple, durable sensors connected through LoRaWAN, the system measures key parameters such as soil moisture, NPK levels, temperature, humidity, rainfall, and sunlight. Data is sent to the cloud via a solar gateway, where it is analyzed and converted into easy, actionable advice delivered to farmers through an app or SMS.
The solution enables accurate irrigation, fertilizer use, and climate-smart decisions, helping farmers increase crop yield, reduce resource waste, and improve resilience. Over time, the project expands from pilot deployment to AI-based advisory, large-scale rollout, government integration, smart automation, and eventually a nationwide micro-weather network for advanced digital farming.

Description

This project aims to support small-scale farmers by giving them accurate, real-time information about their fields, something many rural farmers currently lack. Today, most farmers depend on guesswork to decide when to water their crops, how much fertilizer to use, or how to prepare for sudden weather changes. This often leads to wasted resources, lower yields, and unnecessary financial losses. Our solution changes this by creating a simple, affordable, and reliable solar-powered IoT Smart Farm Network that brings real data directly to the farmer.

The system uses small, durable sensors placed across the farm to measure important conditions like soil moisture, temperature, NPK nutrient levels, humidity, sunlight, and rainfall. These sensors use LoRaWAN, a long-range, low-cost communication technology that works well even in remote villages. The data from all sensors is collected by a solar-powered gateway and sent to the cloud through mobile or satellite networks. Once the data reaches the cloud, it is analyzed and converted into easy-to-understand advice for farmers. They receive this advice through a mobile app or SMS, helping them decide exactly when to irrigate, how much fertilizer to apply, and how to protect their crops from weather-related risks.

The project will grow over several phases: starting with pilot testing, then adding AI-based crop recommendations, reducing hardware costs for large-scale adoption, and linking with government schemes like crop insurance. In the long term, the goal is to build a nationwide micro-weather network and create digital models of farms to support climate-smart agriculture.
Overall, this project empowers farmers with knowledge, reduces resource wastage, and helps them improve productivity and INCOME