Crop yield forecasting is an important aspect for a developing economy
of a country so that adequate planning exercise is undertaken for
sustainable growth and overall development of the country. Weather
fluctuations affect crop yield significantly during different stages of
crop growing season. The present book is the outcome of the research
work carried out by the authoress during P.G. studies under the guidance
of the co-author. The objective was to develop linear or/and non-linear
models for forecasting the yield of rice on the basis of 19 years rice
productivity data and six weather characteristics viz. temperature,
rainfall, humidity, sunshine, wind velocity and evaporation. Bayesian
analysis of the models is also performed. The findings of the study
reveal that both the methods yield satisfactory results with a very high
value of coefficient of prediction (almost 99%). The abovesaid models
are applicable for estimating rice yield in the region of study and are
not universally true, as the weather conditions may change from one
region to another and may affect the yield of rice differently in
different regions.