Project title

Crop Yield Prediction through Different Machine Learning

Submitted to:

  • Anjali Yadav
  • Archana Das

Submitted By:

  1. Tanmay Jain
  2. Vasanthagokul S
  3. Shaik Sazid
  4. Arsh Srivastava

Project Description

The farming assumes a predominant job in the development of the nation's economy. AI (ML) is a essential methodology for accomplishing viable and compelling answers for this issue. Crop Yield Prediction includes anticipating yield of the harvest from accessible verifiable information like climate parameters,season parameter and previous yield.This poster centers around foreseeing the yield of the harvest dependent on the current information by utilizing diverse Machine learning and Deep Neural Netwok Techniques. The prediction will serves to the farmers to foresee the yield of the harvest before cultivating onto the agriculture field.

Project Poster

Poster_1
Get Latest Notification about
leadingindia.ai

Please ignore if you have already signed up.

Announcements, news and innovations!

From leadingindia.ai in your inbox.

By submitting this form, you are consenting to receive marketing emails from: Bennett University. You can revoke your consent to receive emails at any time by using the SafeUnsubscribe® link, found at the bottom of every email.