This work integrates basic biotechnological methodologies with up-to-date agricultural practices, offering solutions to specific agricultural needs and problems from plant and crop yield to animal husbandry. It presents and evaluates the limitations of classical methodologies and the potential of novel and emergent agriculturally related biotechnologies.

This book provides a unified approach for the study of constrained Markov decision processes with a finite state space and unbounded costs. Unlike the single controller case considered in many other books, the author considers a single controller with several objectives, such as minimizing delays and loss, probabilities, and maximization of throughputs. It is desirable to design a controller that minimizes one cost objective, subject to inequality constraints on other cost objectives. This framework describes dynamic decision problems arising frequently in many engineering fields. A thorough...