International Journal of Agriculture Extension and Social Development

author(s)
Samik Kumar Pradhan, Ajay Kumar Prusty, Dibyashakti Priyadarshi, Akhila Badavath, Samridh Nayak, Subash Chandra Munda and Vemu Sudham

abstract
The concept of endogenous and exogenous agricultural disruptive technology is based on the idea and fundamentals of scientific and technological revolution. The process by which a major disruptive core technology innovation is applied to agricultural production propels several technological improvements adopted in production, and this is known as the "agricultural science and technology revolution." We are still in the experimental stage of developing artificial intelligence-based intelligent agriculture technology. Unlike the agricultural equipment, chemical, and green technological revolutions, agricultural scientists do not dominate smart agriculture technology, which is a transboundary application of agricultural technology with intelligent sensing technology at its foundation. Big data and machine learning are two examples of disruptive technologies (DTs) implemented more quickly in the farming industry thanks to the emergence of information and communication technologies (ICTs). Using these innovative and predictive techniques in agriculture is essential to managing hitherto unseen problems like climate change and population growth. Farming has been impacted by various disruptive and emerging technologies, including the Internet of Things (IoT), Artificial Intelligence, Blockchain, Unmanned Vehicles, Decision Support Systems (DSS), and Robotics.