Data Plants: Growing Insights in Agriculture through Data Science

Abstract

Data Science blends different scientific methods to extract valuable insights from large sets of data. Agriculture is crucial for India's economy because more than half of its population relies on it as their main source of income. Research and Extension systems are key in developing and spreading agricultural technologies to boost farmers' earnings. Recently, the use of data has become a game-changer in farming, transforming traditional practices and promoting sustainability efforts. This paper investigates how data-driven methods like machine learning, remote sensing, and predictive analytics are reshaping farming operations and decision-making processes. It also discusses the challenges hindering the widespread adoption of data-driven approaches in farming, such as data security issues and lack of infrastructure. Despite these challenges, there are many opportunities for further exploration and innovation, emphasizing the importance of collaboration across disciplines and policy interventions to maximize the benefits of data-driven approaches for sustainable food production. In summary, this study highlights the significant role of data in farming and its importance in addressing global food security and environmental sustainability challenges.