Smart Irrigation and Remote Farm Monitoring System

Abstract

Primary occupation of our country is agriculture. Automation of farming activities is smart farming, Traditional way reduces the productivity as well as there is wastage of water. To overcome this problem smart irrigation system using IOT is developed. This project includes various sensors like Soil Moisture, PT100, BH1750, Float sensor to sense the physical parameter. Arduino is used to control all the sensors. The data is handled remotely using Android app and website. Evapotarnspiration algorithm is used to calculate accurate requirement of water. KNN algorithm is used to predict the crops for particular geographical zone. This product would increase the productivity of farm as proper amount of water only would be supplied to the plants.

Precision Irrigation Management Using Machine Learning and Digital Farming Solutions

“…A laboratory prototype was implemented experimentally using an adafruit.io rest server and client android application for remote status monitoring. The authors reported that the proposed method was feasible for estimating the required amount of water to compensate for the water loss [56,57].…”

Development of AI Modeling for Implementation of Agricultural Product Price Information Prediction System

“…In addition, it transmits a control command to the environment manager to control the environment. The environmental manager executes the contents commanded by the controller for switchgear, ventilation windows, curtains, water curtains, exhaust fans, flow fans, air conditioners, CO2 control, irrigation pumps, unmanned control systems, nutrient solutions, and irrigation equipment (Choudhari & Chauhan, 2018). Finally, the smart farm operation program to be monitored checks and controls the control status of various controllers and managers, and plays a role in configuring it.…”