Crop Prediction using Machine Learning

• Author(s): Tushar Gupta ; Dr. Sunil Maggu ; Bhaskar Kapoor
• Paper ID: 1704599
• Page: 108-113
• Published Date: 06-06-2023
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 6 Issue 12 June-2023

Abstract

The majority of Indians choose agriculture as their vocation, and the country ranks second in terms of agricultural production. Because they don't know much about the state of the soil, farmers simply keep growing the same crops time and time again by applying arbitrary amounts of fertiliser. This gradually destroys the top soil layer and causes the soil to become more acidic. Therefore, we created a machine learning model for farmers to address these scenarios. By recommending the ideal crop to plant based on the weather and soil conditions, our algorithm aids farmers. Therefore, using our model, farmers can learn about the various crops they need to grow in order to increase production, which then increases profit. Therefore, a crop prediction model using machine learning is used to solve the problem. For this, it requires input from various factors such as soil quality, weather variables, and historical crop data. Using this data, a model can then predict the future crop that should be grown, assisting users and farmers in deciding which crop is best to grow given the current situation. The model is trained using historical crop data as well as the pertinent variables, including water and soil characteristics. Our dataset is completely dependent upon the training and testing of the data, and it is this dataset that allows us to determine the model's accuracy. Overall, farmers lack literacy and knowledge of weather patterns and soil conditions, which causes the soil to deteriorate due to excessive pesticide and insecticide use or causes crops to not yield as well as they should due to nutrient deficiencies in the soil. To solve these problems, farmers can use this crop prediction model to increase profits and reduce soil acidification.

Keywords

Crop prediction, Machine Learning Models, Soil Checking, Crop Recommendation, Rainfall prediction.

Citations

IRE Journals:
Tushar Gupta , Dr. Sunil Maggu , Bhaskar Kapoor "Crop Prediction using Machine Learning" Iconic Research And Engineering Journals Volume 6 Issue 12 2023 Page 108-113

IEEE:
Tushar Gupta , Dr. Sunil Maggu , Bhaskar Kapoor "Crop Prediction using Machine Learning" Iconic Research And Engineering Journals, 6(12)