Agriculture is one of the necessary sectors in the global economy as it is the
source of food for a rapidly expanding world population. To ensure a future
with adequate food for everyone, it is critical to develop a sustainable agricultural
system, which may be achieved by applying agricultural innovation. Farmers, particularly
small-scale farmers in developing nations are confronted with a variety
of decision-making issues as they adapt to an agriculture that is becoming increasingly
integrated with the global economy. Farmers are also confronted with
changes such as climate change, disease outbreaks and market volatility. As a
result, it has become critical to understand specific factors that influence farmers'
decision making to give them the much-needed information and innovation to
be resilient to disruptions. Decision making can either be spontaneous allowing
natural factors to take their course or the agricultural decision-makers to consider
their benefits and understand them in the best way possible to enhance their productivity.
However, its most significant threat is climate change, with escalating
temperatures and seasonal water inadequacy. With such direct effects on agriculture,
farmers are at a high disadvantage with respect to valuable long-term data
regarding climate change to plan their practices. In particular, farmers believe
that climate and weather parameters are changing rapidly, but they don't have
broad adaptive reactions to these perceptions or observations (Mertz et al., 2009;
Osbahr et al., 2011; Simelton et al., 2013). To assist farmers in overcoming present
and impending difficulties due to changes in climate, a trustworthy weatherbased
crop recommendation system is the need of the hour. Considerable information
on weather is available for utilization in agriculture and utilizing them in a proper
way will provide greater insights in crop selection. Forecasting for longer periods
(Long-range weather forecast) helps the farmers to plan their source of irrigation,
select suitable crops and prepare for floods or drought (Calanca et al., 2011).
