Recommendation of Crop Based on Parameters of Field and Surrounding Environment

EasyChair Preprint 13513

Abstract

A sizable portion of India's populace views agriculture as their primary employment. The production of crops is crucial to our economy. Inadequate understanding of the growth potential of various crops or choosing the incorrect crops on the incorrect soil are common causes of low-quality crop production. The proposed system uses previously recorded measurements of soil parameters to inform crop recommendations based on machine learning. By using this technique, the chance of soil degradation is decreased and crop health is preserved. Many factors, including precipitation. Temperature, pH, N, P, K, and humidity are investigated using the machine learning algorithm KNN. Recommendations for growing a suitable crop are given based on this analysis.

Keyphrases: Crop Recommendation, K-Nearest Neighbor (KNN) Algorithm, Soil quality, agricultural practices, experimental analysis

@booklet{EasyChair:13513,
  author    = {Sriya Reddy Lankireddy and Sushumna Singamsetty and Sunil Babu Melingi},
  title     = {Recommendation of Crop Based on Parameters of Field and Surrounding Environment},
  howpublished = {EasyChair Preprint 13513},
  year      = {EasyChair, 2024}}