Innovative and Disruptive Technologies for Agricultural Development

This paper explores the transformative impact of disruptive technologies across various sectors, with a particular focus on agriculture. Disruptive technologies, initially undervalued or considered inferior, have the potential to significantly reshape industries by offering more accessible, affordable, or efficient alternatives to existing systems. Key examples, such as the rise of the internet, artificial intelligence (AI), big data analytics, and blockchain, are highlighted for their role in driving innovation and altering traditional business models. In agriculture, AI and blockchain technology are emerging as crucial tools to enhance productivity and transparency. However, challenges such as high implementation costs and resistance to adoption remain prevalent, especially in rural areas. The paper also examines the increasing role of big data in agricultural decision-making, where advanced data mining and machine learning algorithms can improve analytics and outcomes. Additionally, the use of drones in precision farming is discussed, emphasising their benefits in monitoring crops, managing resources, and increasing operational efficiency. Despite the numerous advantages, drones face limitations, including regulatory hurdles, high costs, and technical constraints. Overall, this paper emphasises the need to strategically integrate disruptive technologies to unlock their full potential while addressing the barriers to their widespread adoption in sectors such as agriculture.