Digital Revolution in the Agriculture Based on Data Science

• Published in: 2022 2nd Asia Conference on Information Engineering (ACIE) pp. 6 - 12
• Main Authors: Hossen, Md Helal, Hasan, Md Monim, Sajidul, Islam Khandaker, Hu, Wenjun
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.01.2022
• Subjects: agriculture; air temperature sensor; Climate change; Cloud computing; data science; Detectors; digital agriculture; drought; erratic monsoon; flooding smart farming; Productivity; soil temperature detector; Temperature distribution; Temperature sensors; Wind speed; wind speed tracker
• DOI: 10.1109/ACIE55485.2022.00010

A variety of applications are available in data science. It would all support the agriculture sector after revolutionizing sectors like IT, retail, engineering, finance and health care. Data scientists are also used for the agricultural sector, such as soil temperature detector, plant weather detector, air temperature sensor, weather detector, soil humidity sensor, PH detector of soil, wind speed tracker, rain drop sensor, etc. Agriculture is the backbone of the economy in Bangladesh, creating jobs for about half the people in Bangladesh. By now, Bangladesh has become the world's third largest manufacturer of fish and vegetables. Agriculture is facing numerous disasters including falling rural soil levels, climate change, erratic monsoons, droughts, flooding, price setting policies on goods, farmers in search of better paid jobs, and the relocation of farmers to towns. These people who are engaged in agriculture, have cultivated food for the entire country's peoples. The time has now come when technology is in charge of the transition, and agriculture in Bangladesh needs institutional interest, banks help in loans and farmers' welfare schemes. Here is the Data science of redemption! In this paper, we discuss various forms of data science technologies and their effect on Bangladesh's agricultural perspective.