Machine Learning-Based Crop Recommendation System for Sustainable Agriculture

Machine Learning-Based Crop Recommendation System for Sustainable Agriculture

Prepared by:

Name: Prabhat Kumar Ravi (PhD Pursuing)

Designation: Asst.Prof.&HOD

Roll. No.:1324095 |Adm.No.: CSA/24D07

Course: PhD (Computer Science & Applications)

Maharishi Markandeswar (Deemed to be University),

Mullana Ambala [Established under Section 3 of the UGC

Act,1956] [Accredited by NAAC with Grade ‘A++’]

Supervisor:

Name: Dr. Rubika Walia

Deptt:Computer Science & Applications

Maharishi Markandeswar (Deemed to be University),

Mullana Ambala [Established under Section 3 of the UGC

Act,1956] [Accredited by NAAC with Grade ‘A++’]

1. Abstract

Agriculture is the backbone of the Indian economy, employing a significant portion of the population and contributing substantially to the country’s GDP. Despite its importance, Indian agriculture faces many challenges, including unpredictable weather patterns, soil degradation, and inefficient crop selection, which often lead to suboptimal yields and financial losses for farmers.

Selecting the right crop to cultivate based on soil health, climatic conditions, and regional factors is a critical decision that impacts productivity and sustainability. However, many farmers, especially in rural and resource-constrained areas, lack access to scientific guidance and rely on traditional practices or trial-and-error methods.