Data science in agriculture: moving forward together and providi (Bengaluru)

Data science in agriculture: moving forward together and providi

Nearly half of the workforce in India is employed in agriculture, making it the most significant sector of the Indian economy! India is second in the world for fruit and vegetable production. Although agriculture is the foundation of the Indian economy, it is plagued by a multitude of natural calamities, including climate change, unpredictable monsoons or a lack thereof, droughts, floods, farmer migration to cities in pursuit of higher-paying jobs, and more. Despite being the ones who feed the entire nation, those who work in agriculture are the last to receive care. It is time for technology to lead the shift because institutions are failing to promote agriculture by offering loans and farmer welfare programmes. The solution is data science! Data is essential to all businesses, therefore data science has a wide range of uses. It is all set to benefit the agriculture business after transforming sectors like IT, banking, manufacturing, finance, healthcare, and many more. Applications of Data Science in Agriculture Weather forecast The growth, development, and yield of crops are all influenced by the weather, which is crucial to agriculture output. Crops can sustain physical harm from weather anomalies, and soil can erode. The weather affects the quality of crops from the field to the market. The quality of the crop might be negatively impacted by bad weather while it is being transported or stored. Data science professionals are skilled in the use of techniques that reveal links and patterns that could otherwise go undetected. Through the investigation of particular elements causing weather change, they can reach conclusions that advance agricultural research. The insights brought about by going through databases and studies to establish things like this in agricultural processes can bring about astonishing changes. Indicators of agricultural weather include: Amount and type of clouds covering the sky Snowfall and rainfall Dew point temperatures, maximum and minimum Humidity relative Wind direction and speed Depressions, cyclones, tornadoes, and low-pressure zones Events like hail, thunderstorms, wind squalls, fog, and frost