IoT & Mobile App

IoT-based micro-environment
monitoring and management of
greenhouses. Open precision
farming and automatic
irrigation scheduling.

01 Introduction

Agriculture is the primary source of livelihood in India. We are reigning supremacy over the tech industry and community. Why would our interference not benefit the agricultural sector?

As we all know, we have a population of 3.25 crores in our state and we require 20 lakh tonnes of fresh vegetables daily. However, we produce only 12 lakh tonnes which means we depend on neighboring states for the shortage of 8 lakh tonnes. Hence, we understand that there is a genuine need to start farming practices in our state, despite, lack of farming land and own backyards.

Moonhive’s technical team would like to grab your attention on our novel thoughts on IoT-based smart farming. We have developed an integrated system to ensure less human intervention in farming and cultivate veggies in the available land.


02 Description

Setting up Precision farming and open greenhouses on small patches of land or terrace, based on a detailed study on soil, fertilizer, temperature, water, seeds, and pesticides. Ensuring controlled input for maximum output through minimal monitoring at all stages.


How do we do it?


Variable Rate Technique (VRT) brings all technological components together for maximum efficiency of farming projects.VRT components include

  • Software applications
  • GPS
  • Soil sensors
  • Moisture sensors
  • Drones
  • Digitally controlled pesticide sprayers.


All the above components are applied on the land through automation for optimal productivity.


We integrate a centralized irrigation system, solar panel for energy to power the local data center, and the abovementioned components to monitor crop, crop damage, irrigation requirement, and soil supplement addition. It is made possible through cloud-based data collection and given to the farmer through an app that eases farming procedures. These data are then used for regional, climatic and periodic predictions to avoid losses due to unforeseen calamities. Thus, real-time data produces reliable data for long-term food security and farming self-sufficiency in our country.