Role of Optimization Techniques in Agriculture

Project Report from the year 2017 in the subject Economics - Statistics and Methods, grade: 84.7, University of Kerala (College of Agriculture, Vellayani), course: Agricultural Statistics, language: English, abstract: Traditionally, judgment based on experience has been the basis for planning in agriculture, but increased specialization and the adoption of capital intensive production systems have stimulated the development of more formal planning methods based on the construction and analysis of a mathematical model. Once a solution to the model has been derived and tested, the solution can be implemented and its performance is monitored and controlled. Mathematical modeling is quicker and less expensive than using the trial-and-error approach or constructing and manipulating real systems.