Crop Yield Prediction

Authors

  • Dr. Bhaludra R Nadh Singh  Professor, Department of CSE, Bhoj Reddy Engineering College for Women, Vinay Nagar, Hyderabad.Telangana, India
  • B Anusri  Department of CSE, Bhoj Reddy Engineering College for Women, Vinay Nagar, Hyderabad, Telangana, India
  • N Akshaya  Department of CSE, Bhoj Reddy Engineering College for Women, Vinay Nagar, Hyderabad, Telangana, India
  • P Deekshitha  Department of CSE, Bhoj Reddy Engineering College for Women, Vinay Nagar, Hyderabad, Telangana, India

Keywords:

Crop Suitability, Land Suitability, Data Mining, Classification, Agricultural Data Mining

Abstract

The fast pace of urban development minimize the agricultural lands. Owing to poor rainfall and drastic climatic changes farmers often face challenges to sustain cultivation of crops with respect to crop cycle. With growing economic competition and rising population, governmental agencies design long term plans which rarely address the farmer’s needs. To meet the global demands agriculturist needs to investigate every opportunity that could improve agricultural production and growth. Whether to expand agricultural lands or to improve the production farmers needs to assess the suitability between land and crops. The investigation of land suitability and crop suitability has attracted many researchers to utilize latest technology such as remote sensing, geographical information systems etc. This paper aims to survey on recent researches on crop and land suitability using data mining techniques.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2023-04-30

Issue

Volume 10, Issue 2, March-April-2023

Section

Research Articles

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How to Cite

[1]
Dr. Bhaludra R Nadh Singh, B Anusri, N Akshaya, P Deekshitha "Crop Yield Prediction" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 10, Issue 2, pp.52-56, March-April-2023.