Crop Yield Prediction based on Indian Agriculture using Machine Learning

IEEE BASE PAPER ABSTRACT:

In India, we all know that Agriculture is the backbone of the country. This paper predicts the yield of almost all kinds of crops that are planted in India. This script makes novel by the usage of simple parameters like State, district, season, area and the user can predict the yield of the crop in which year he or she wants to. The paper uses advanced regression techniques like Kernel Ridge, Lasso and ENet algorithms to predict the yield and uses the concept of Stacking Regression for enhancing the algorithms to give a better prediction.

PROJECT OUTPUT VIDEO:

ALGORITHM / MODEL USED:

Stacked Regression(Lasso, Kernel Ridge,ENet).

SYSTEM REQUIREMENTS:

HARDWARE REQUIREMENTS:

System : Pentium i3 Processor.

Hard Disk : 500 GB.

Monitor : 15’’ LED

Input Devices : Keyboard, Mouse

Ram : 4 GB

SOFTWARE REQUIREMENTS:

Operating System : Windows 10 / 11.
Coding Language : Python 3.8.
Web Framework : Flask.
Frontend : HTML, CSS, JavaScript.

REFERENCE:

Potnuru Sai Nishant, Pinapa Sai Venkat, Bollu Lakshmi Avinash, B. Jabber, “Crop Yield Prediction based on Indian Agriculture using Machine Learning”, IEEE CONFERENCE, 2020.

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Crop Yield Prediction based on Indian Agriculture using Machine Learning