SMART IRRIGATION SYSTEM AND BEST CROP SUGGESTION
Author(s):
Rutuja Yashawant Kapse, Yukta Bhanushali, Deepkumar Patel, Dr. Sushopti Gawade
Keywords:
Irrigation, Environmental parameters, Water conservation, Smart System, NodeMCU, Machine Learning, IoT
Abstract
Freshwater scarcity is becoming a huge problem all over the world, hence a solution for optimal water resource exploitation is urgently needed. The monsoon is the primary source of water for agriculture, yet it is insufficient. A smart irrigation system based on Internet of Things (IoT) and Machine Learning (ML) is being made to solve the problem of water resource management and which crops to grow in the agricultural sector. A smart irrigation system is designed in this research to estimate the field's watering requirements based on a variety of environmental variables such as soil moisture, temperature, and humidity, which helps crop growth. The website is updated in real time with irrigation status using a laptop. This method involves putting sensors in the field to monitor soil moisture, temperature, and humidity, then sending the data to a microcontroller, which calculates the amount of water needed.The collected data is regularly uploaded to the server and can be accessed using Google Firebase.This technology also allows you to post about your experience in the website's Blog section and helps us predict weather through the website. Our website Smart-Farmer also assists farmers in purchasing and selling products such as fruits, vegetables, and grains via the internet. This method saves water, labor, and plant nutrients by reducing the use of traditional irrigation methods. This system provides a low-cost, fully working prototype model with superior technological features
Article Details
Unique Paper ID: 154929

Publication Volume & Issue: Volume 8, Issue 12

Page(s): 766 - 771
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