In an agriculture-based society, where sustainable farming operations are
required, quantitative field status and plant-by-plant monitoring may benefit all
cultivators by enhancing farmland management. Sensing technology, artificial
intelligence, autonomous robotics, and computerized data analytics will be important.
In this book chapter, the essential features of using robotics in agriculture are
presented; namely, the primary reasons for the automation of agriculture, the role of
robotics in agriculture, its classification, evolution, and consideration of autonomous
navigation for commercial agricultural robots, currently existing models of agriculture
robots and their comparison, the potential benefits and limitations of agriculture
robotics, gathering of massive data and using data science approaches for improving
the food productivity and its influence on boosting the agriculture industry. The current
study focuses on the adoption of agriculture robotics in the farming sector for various
purposes (from land preparation to harvesting). The application of agriculture robotics
for food production can favor the incorporation of agricultural robotics companies to
minimize labor costs and food shortages. Furthermore, agriculture robotics can be the
catalyst for new sources of information on the environmental impact (agroecological
footprint) of the local food production chain.
Keywords: Agricultural robotics, Digital agriculture, Smart farming, Data science, Commercial model.
