Agri-food production must increase while food waste needs to be reduced for improving the position of farmers. To do so it is necessary sustainably manage agri-food supply chains beginning with crop planning decisions. Although centralized approach has usually been adopted this purpose, can lead unfair solutions due inequitable distribution profits among farmers causing their unwillingness coll...

Considering a temporal dimension allows for the delivery of rolling solutions to complex real-world problems. Moving forward in time brings uncertainty, and large margins potential error solutions. For multi-year crop planning problem, largest uncertainty is how climate will change over coming decades. The innovation this paper presents are novel methods that allow solver produce feasible under...

an analysis of the stages of crop growth presents an important step in the improvement of production management. through growth analysis, planning for planting systems, fertilization, pruning operations, harvest time as well as obtaining economical yield can be more accessible. therefore, a development of mathematical models simulating plant growth would be helpful in improving crop management,...

In this paper we examine the usefulness of optimisation methods for practical farm program decisions. We inspect three Brandenburg cash crop farms over the last five years and find that their total gross margins could have been increased significantly by using optimisation methods. Our ex post planning approach uses the information available to the farmers in the respective planning year and pr...

The present study deals with the application of Genetic Algorithms (GA) for irrigation planning. The GA technique is used to evolve efficient cropping pattern for maximizing benefits for an irrigation project in India. Constraints include continuity equation, land and water requirements, crop diversification and restrictions on storage. Penalty function approach is used to convert constrained p...