International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 04 | Apr 2024
p-ISSN: 2395-0072
www.irjet.net
Smart Agriculture: Soil Detection and Crop Prediction with Machine Learning Mr.B.N.bansode, Raut Atharv Ketan, Divate Tejas Manoj, Mungase Vaishnavi Prafull, Professor, Department of Electronics Engineering, AVCOE, Sangamner, Maharashtra, India. Students, AVCOE, Sangamner, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract – 2. Need and Necessity The aim of this project is to design and construct a versatile wireless multi-functional Automated tailored for Agriculture applications. Leveraging the capabilities of Raspberry Pi, this Automation will be equipped with a range of functionalities crucial for various farming tasks, such as reconnaissance, surveillance, communication, and support operations in challenging terrains and environments.
2.1 Problems Faced by 2.1.1 Smart farming
Key Words: Radio Communication, IoT, Digital Farming, Literate India, Smart Farming, LoRa.
1. INTRODUCTION In this project, we're using Arduino, which is like a tiny computer, to help us with farming. We've also got special sensors that can tell us about the nutrients in the soil (NPK), as well as the temperature and humidity in the air. These sensors are like little detectives collecting important information. The first step is all about gathering data. Think of it as taking notes about what's happening in the soil and around the plants. The sensors tell us if the soil has enough of the right nutrients, and if the weather is good for the plants. The second step is where the magic happens. We have a smart computer program called a machine learning model. This clever program looks at all the information the sensors collected. It's like a plant doctor that checks how healthy the plants are going to be. So, the big idea is that we use technology to keep an eye on the soil and weather, and this helps us figure out if the plants will grow strong and healthy. This is super important because healthy plants mean better crops, less waste, and a happier planet. In the rest of the project, we'll explain how we set up all the gadgets, how we gather data, how the smart program works, and what we hope to achieve. By the end, we aim to make farming smarter and better for everyone.
2.1.2 Smart Computer Program
2.2 Hurdlers to Develop the System
The significance of this project lies in its potential to revolutionize the way we approach agriculture. By intelligently monitoring and assessing the vital parameters that influence plant growth, we can make informed decisions and take proactive measures to ensure optimal conditions for plant development. This not only has the potential to boost crop yields but also reduces resource wastage, making it a sustainable and environmentally friendly approach to agriculture.
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2.2.1 Reducing complexity A versatile wireless multifunctional tailored for agriculture applications.
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