AI Dairy Yield

Project Title

AI Dairy Yield

Project Area of Specialization Artificial IntelligenceProject Summary

We are building a strong, powerful information system backed by Artificial and Machine Learning to maintain, judge, and provide recommendations for better management of  Daily Farm for our client. It is needed to manage the milk production according to the need which variates cattle to cattle and season to season respectively, using datasets and machine learning we are hoping and dedicated to building such a system which may help us to efficiently use the feed concerning required milk needed and avoid loss of milk and other resources. On the basic of Data Set and it through machine learning our AI will provide a recommendations regarding  portion feed, medicines, and sells or purchases of cattle on the basis of different parameters

Project Objectives

Prediction of milk yield for month/season/year.

Profit sharing is done using traditional methods which can often be erroneous and lead to conflicts.

Reports are generated using Excel sheet and every variable of the report has to be set manually to what the customer requires which isn’t very efficient.

Project Implementation Method

1. Methodology/Algorithm

• • Artificial Intelligence
  • Web Development
  • Ridge/Lasso regularization
  • Linear regression
  • Neural networks

Technologies to be used

• Machine Learning
• Artificial Intelligence 
• Web Application
• Cloud Based System
• NoSQL Database

Benefits of the Project

• Yield prediction: Application of algorithms such as linear regression/ Artificial Neural Networks
• Cloud Storage: Storage of AI results on cloud storage to get access to later when needed.
• Cattle Management: Information regarding the cattle will be stored in the system automatically now
• Partners Shares: Information regarding each subsequent partner and their share will be calculated by the system
• Smart Information: Information in the system database will be updated dynamically
• Reports: Reports generation according to customer requirements
• APIs: We will made rest APIs for our different Smart Information aspects.

Technical Details of Final Deliverable

·Yield prediction: Application of algorithms such as linear regression/ Artificial Neural Networks

·Cloud Storage: Storage of AI results on cloud storage to get access to later when needed.

·Cattle Management: Information regarding the cattle will be stored in the system automatically now

·Partners Shares: Information regarding each subsequent partner and their share will be calculated by the system

·Smart Information: Information in the system database will be updated dynamically

·Reports: Reports generation according to customer requirements

·APIs: We will make the rest APIs for our different Smart Information aspects.

Final Deliverable of the Project Software SystemCore Industry FoodOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Industry, Innovation and Infrastructure, Partnerships to achieve the GoalRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	25000
web hosting	Equipment	1	12000	12000
Atlas Database	Equipment	1	13000	13000