Department of Information TechnologyGokaraju Rangaraju Institute of Engineering and Technology

CERTIFICATE

This is to certify that the thesis titled Analysis and Prediction of our Agriculture Crop Using Data Mining Techniques is a bonafide work done by K.Anusha Nagina, bearing the Roll number 11241D2502, in partial fulfilment of the requirements for the award of the degree M.Tech in Software Engineering and submitted to the Department of Information Technology, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad.This work was not submitted earlier at any other University or Institute for the award of any degree.

Dr. Y.Vijayalata

Dr.Y.Vijayalata(Guide)

(Head of Department) (External Examiner) AcknowledgementI take the immense pleasure in expressing gratitude to my Internal Guid Dr. Y.Vijayalata Professor, Information Technology, Gokaraju Rangaraju Institute of Engineering & Technology College. I express my sincere thanks for her encouragement, suggestions and support, which provided to impetus and paved the way for the successful completion of the project work and i feel very fortunate to have this opportunity to study under her supervision.

I am grateful to Dr.Y.Vijayalata, Head of the Department of Information Technology and the Members of the Project Review Committee: Dr.Y.Vijayalata , Dr.Padmalaya Nayak , Ms.Veena Trivedi for their valuable suggestions.

I express my sincere thanks to Prof. .P. S. Raju, Professor and Director of Gokaraju Rangaraju Institute of Engineering & Technology College, and Dr. Jandhyala N Murthy, Principal of Gokaraju Rangaraju Institute of Engineering & Technology College, for providing us the conductive environment for carrying through our academic schedules and project with easeI also take this opportunity to convey my sincere thanks to the teaching and non-teaching staff of GRIETCollege, Hyderabad, for their kind cooperation throughout. K.ANUSHA NAGINA

Email: angina.anusha@gmail.com Contact no: 9866977056 Address: HyderabadDeclarationThis is to certify that the thesis titled Analysis and Prediction of our Agriculture Crop Yeild Using Data Mining Techniques is a bonafied work done by me in partial fulfillment of the requirements for the award of the degree M. Tech. in Software Engineering and submitted to the Department of Information Technology, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad.

I also declare that this project is a result of my own effort and has not been copied or imitated from any source. Citations from any websites are mentioned in the Bibliography.

This work was not submitted earlier at any other University or Institute for the award of any degree.

K.ANUSHA NAGINA (11241D2502)HYDERABAD

ABSTRACTFarming is the background of the economy, every person requires food for their survival. The farmers must be helped, so that they will come to know which crop to grow under various circumstances. Farming not only depends on manpower but also on various aspects like water, type of soil, fertilizers used, climate etc. Our intention through this project is to guide the farmers in choosing a crop for cultivation that has the most productive yield thereby being beneficial to them.In this project an attempt has been made to review the research studies on application of data mining techniques in the field of agriculture. The decision tree is one of the common modeling methods to classify. This project analyses the Agriculture data provided Department of Agriculture at Guntur and Karimnagar districts , and adopts clustering analysis method to discretize continuous data during the process of data mining in order to subjectivity comparing to the traditional classification methods. Finally, generating the decision tree of our agriculture data, thereby gaining the spatial classification rules and analyzing the rules.

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