An Intelligent System Design to Evaluate Productivity of Sorghum and Sesame in Gadarif State & it's Relation with Climate Variability

For thousands of years the world is exposed to many natural disasters that lead to destruction of human like
earthquakes, volcanoes, floods, rising temperatures, sandstorms, drought crop and newly fall of the aircraft,so according to
that it all had to be a trend to study and analyse the causes of these disasters and to know all the phenomena that contribute to
the emergence of these disasters.
We discuss in this paper one of the disasters, which related to agrometeorology and the factors that influence the increase or
decrease the productivity of agricultural crops such as sesame and sorghum which based on rainfall as a major factor, so
Gadarif state in Sudan was selected to conduct the study particularly the southern part, so rainfall, evapotraspiration, wind
speed and tempreture were chosen and we compared between these factors and test them individual to show the accuracy in
assessing productivity by taking different readings to each of them for several previous years, and the results which have
been accessed is that dependence on the amount of rainfall,wind speed and tempereture is not enough to assess productivity
accurately but that evapotranspiration rate leads to a resolution in productivity using the Penman equation that calculate the
evapotranspiration depending on five influential elements which affect on crops. According to all these operations we have
developed intelligent system model by using a computer which provided with data to obtain these results at high speed and
pinpoint accuracy in addition to use GIS technology to measure the amount of rainfall in different parts of the city of
Gadarif .