Climate Based Crop Recommendation System

By S Bangaru Kamatchi

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).

• Format: Paperback
• Language: English
• ISBN: 1835800092
• ISBN13: 9781835800096
• Release Date: October 2023
• Publisher: Self Publish
• Length: 154 Pages
• Weight: 0.47 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"