  The population explosion of the 21st century has adversely affected the
natural resources with restricted availability of cultivable land, increased
average temperatures due to global warming, and carbon footprint resulting in a
drastic increase in floods as well as droughts thus making food security
significant anxiety for most countries. The traditional methods were no longer
sufficient which paved the way for technological ascents such as a substantial
rise in Artificial Intelligence (AI), Internet of Things (IoT), as well as
Robotics that provides high productivity, functional efficiency, flexibility,
cost-effectiveness in the domain of agriculture. AI, IoT, and Robotics-based
devices and methods have produced new paradigms and opportunities in
agriculture. AI's existing approaches are soil management, crop diseases
identification, weed identification, and management in collaboration with IoT
devices. IoT has utilized automatic agricultural operations and real-time
monitoring with few personnel employed in real-time. The major existing
applications of agricultural robotics are for the function of soil preparation,
planting, monitoring, harvesting, and storage. In this paper, researchers have
explored a comprehensive overview of recent implementation, scopes,
opportunities, challenges, limitations, and future research instructions of AI,
IoT, and Robotics based methodology in the agriculture sector.
