As the population grows and meets the demand for food, it is necessary to increase the production rate. This can be done by choosing the proper season for the crop and employing the cultivation land. The data analysis study is conducted on 124 crop varieties in the 33 Indian states in different weather conditions. The data analysis used a two-factor experimental design. The data analysis helps the farmer select the crop in the region and weather conditions that can have more productivity results. The study shows that the Kharif and Rabi season is the most favorable season for agriculture. Other than these seasons, agricultural activities are also done in summer, winter, autumn, and the whole year. The yield from the crops based on the seasonal weather information is a challenge in the agricultural sector. Amongst the variety of fruits, vegetables, seeds, and nuts, the majorly grown are pulses in all the states, rice has the largest producers. Data analysis is an important concept to understand the data wisely. This study helps the smallholder farmer in decision making to increase crop productivity due to climate risk and trends. There is a vulnerability in agricultural production due to a change in weather conditions. This can arise from food security issues if proper knowledge of crop selection is not done.