Crop‭ Prediction Using Machine Learning

Main Article Content

Mukul‭ Saini
Ritik Arya
Harsh Dev
Md. Shahid

Abstract

As is well known, the majority of people in India work in agriculture, making it the country with the second-highest population in the world. Farmers are planting the same crops over and over again without experimenting with other varieties, and they are dousing crops in fertilizer in arbitrary amounts without understanding the amount and composition of deficiencies. Thus, this has a directly affects the yield of crops in crop output Furthermore to acidify soil and destroying the top layer. Therefore, we used machine learning techniques to construct the system with the benefit of farmers in mind. Our technology will recommend the most appropriate crop for the land based on weather and content characteristics. Additionally, the system offers details on the necessary amount and composition of fertilizers as well as the seeds needed for growing.


Therefore, producers may grow a new crop variety, perhaps raise their profit margin, and prevent soil contamination by using our technology.

Downloads

Download data is not yet available.

Article Details

How to Cite
Mukul‭ Saini, Ritik Arya, Harsh Dev, & Md. Shahid. (2024). Crop‭ Prediction Using Machine Learning. Educational Administration: Theory and Practice, 30(5), 11050–11054. https://doi.org/10.53555/kuey.v30i5.4883
Section
Articles
Author Biographies

Mukul‭ Saini

Computer Science Department Meerut Institute Of Engineering And Technology, Meerut 250001

Ritik Arya

Computer Science Department Meerut Institute Of Engineering And Technology, Meerut 250001

Harsh Dev

Computer Science Department Meerut Institute Of Engineering And Technology, Meerut 250001

Md. Shahid

Computer Science Department Meerut Institute Of Engineering And Technology, Meerut 250001