Abstract
This chapter is problem-based, and hence starts with examples of problems. We then look at the climatic data and the statistical methods that are needed to solve the problems.
an association of cotton growers in West Africa approached the researcher responsible for cotton with a problem. Because of the climate change that they had perceived, they now planted their cotton earlier than before. But this meant that the crop was ready for harvest in late September. Sometimes the change was not as they had hoped, so there was too much rain at harvest time and the crop suffered.
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References
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Stern, R. (2010). Statistics and Agrometeorology: Introductory Issues and Cases. In: Stigter, K. (eds) Applied Agrometeorology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74698-0_110
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DOI: https://doi.org/10.1007/978-3-540-74698-0_110
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