Design and Analysis of a Prediction Model for Crop Yield Production in Agriculture

Abstract

Big Data Analytics has its importance in almost all the real time applications ranging from Science & Technology to Market Prediction to Weather forecasting and many more. One such important area where analytics played a crucial role is Agriculture. Understanding the previously available agricultural data and studying the underlying pattern can help in making accurate future predictions. A well-known fact that the majority of population (≥55%) in India is into agriculture, the analytics and prediction can be really useful to them. Various factors are to be considered which have direct impact on the production of the crops. The use of technology in agriculture has increased in recent year and data analytics is one such trend that has penetrated into the agriculture field. In this paper, the data of Government Crop Production is analyzed on various parameters which will help in predicting the Crop Yield.

Authors and Affiliations

Dr. Yojna Arora, Ms. Ashima Gambhir

Keywords

Related Articles

Analysis of Welding Parameters on TIG with 316 Stainless Steel Alloy

Among other applications, austenitic stainless steel is frequently used in heat exchangers, furnaces, and in aircraft engine parts. It has chromium and nickel in it. Austenitic stability over a wide temperature range and...

An Overview on Vertical Farming

Vertical farming methods allow for the effective use of space by growing fresh food vertical in dissimilar layer piled atop each other’s. Vertical farming techniques do not require sunshine or soil since the atmosphere...

Advancing Medical Diagnostics with Deep Learning and Data Preprocessing

To address the inefficiencies and inaccuracies in analyzing large-scale medical diagnostic datasets, this paper introduces a deep learning-based method for processing auxiliary medical diagnostic data. The proposed appro...

An Overview of Wireless Networks Towards Internet

With advances in wireless technology and digital electronics, several small gadgets have begun to be utilized in a variety of everyday situations. The concept of IoT enables rapid access to environmental data. Efficiency...

Study on the Anti-snake venom property of Cabbage

Snake poison causes death and tissue disfiguration among the rural people. Though anti-dote or anti-snake venom serum is freely accessible at government health care facilities but is hampered by poor handling, storage an...

Download PDF file
  • EP ID EP747627
  • DOI 10.21276/ijircst.2020.8.5.5
  • Views 4
  • Downloads 0

How To Cite

Dr. Yojna Arora, Ms. Ashima Gambhir (2020). Design and Analysis of a Prediction Model for Crop Yield Production in Agriculture. International Journal of Innovative Research in Computer Science and Technology, 8(5), -. https://europub.co.uk/articles/-A-747627