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Assessment Of Crop Yield And Rainfall Simulation In Nasarawa Town Nasarawa State Nigeria

Author

Listed:
  • Ibrahim Sufiyan

    (Deparment of Surveying and Geoinformatics, Federal Polytechnic Nasarawa, Nasarawa, Nasarawa State – Nigeria)

  • K.D. Mohammed

    (Department of Geography, Federal University Lafia, Nasarawa, Nigeria.)

  • Magaji J.

    (Department of Geography Nasarawa State University Keffi, Nigeria)

Abstract

Recent technology use simulation to predict the amount and total crop production and yield in a particular piece of land. Crop yield is termed as the growth of crop per unit area. This study calculates the crop yield for 20 years and uses simulation to produce 18 years of crop yields at different locations in Nasarawa Local Government Area of Nasarawa State Nigeria. the study applies the use of time series analysis of both Linear, quadratic and growth curve models to ascertain the crop yield. The result indicates that there is a high amount of rainfall in the preceding year from 2020 -2038 with a rainfall trend of more than 2200mm- 2300mm per annum. The crop yield simulation shows a higher growth curve with a bumper harvest in the next years to come.

Suggested Citation

  • Ibrahim Sufiyan & K.D. Mohammed & Magaji J., 2020. "Assessment Of Crop Yield And Rainfall Simulation In Nasarawa Town Nasarawa State Nigeria," Journal Clean WAS (JCleanWAS), Zibeline International Publishing, vol. 4(2), pages 75-78, July.
    • Handle: RePEc:zib:jclnws:v:4:y:2020:i:2:p:75-78
    DOI: 10.26480/jcleanwas.02.2020.75.78
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    References listed on IDEAS

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    1. Deepak K. Ray & James S. Gerber & Graham K. MacDonald & Paul C. West, 2015. "Climate variation explains a third of global crop yield variability," Nature Communications, Nature, vol. 6(1), pages 1-9, May.
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