This collection features four peer-reviewed reviews on Artificial
Intelligence (AI) applications in agriculture.
The first chapter reviews developments in the use of AI techniques to
improve the functionality of decision support systems in agriculture. It
reviews the use of techniques such as data mining, artificial neural
networks, Bayesian networks, support vector machines and association
rule mining.
The second chapter examines how robotic and AI can be used to improve
precision irrigation in vineyards. The chapter pays particular attention
to robot-assisted precision irrigation delivery (RAPID), a novel system
currently being developed and tested at the University of California in
the United States.
The third chapter reviews the current state of mechanized collection
technology, such as the development of harvest-assist platforms, as well
as the possibilities of these machines to incorporate artificial vision
systems to perform an in-field pre-grading of the product.
The final chapter explores the emergence of the automated assessment of
plant diseases and traits through new sensor systems, AI and robotics.
The chapter then considers the application of these digital technologies
in plant breeding, focussing on smart farming and plant phenotyping.