Overview

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).

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9781835800096

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