Modeling crop regional production using positive mathematical programming

Positive Mathematical Programming

Using the Positive Mathematical Programming Method to Calibrate

In agricultural economics, several calibration and aggregation approaches have evolved in mathematical programming models. This article combines in a linear programming model features of the Positive Mathematical Programming method with an aggregation approach that is constrained to the production possibility set spanned by a convex combination of observed production activities. The combination...

Mathematical Modeling of Intestinal Iron Absorption Using Genetic Programming

Iron is a trace metal, key for the development of living organisms. Its absorption process is complex and highly regulated at the transcriptional, translational and systemic levels. Recently, the internalization of the DMT1 transporter has been proposed as an additional regulatory mechanism at the intestinal level, associated to the mucosal block phenomenon. The short-term effect of iron exposu...

Projected Crop Production under Regional Climate Change Using Scenario Data and Modeling: Sensitivity to Chosen Sowing Date and Cultivar

A sensitivity analysis of the responses of crops to the chosen production adaptation options under regional climate change was conducted in this study. Projections of winter wheat production for different sowing dates and cultivars were estimated for a major economic and agricultural province of China from 2021 to 2080 using the World Food Study model (WOFOST) under representative concentration...

A Dynamic Regional Model of Irrigated Perennial Crop Production

Perennial crop production is inherently dynamic due to several salient physical characteristics including an establishment period of several years, long lives in commercial production, and pathdependence of yields on input use and other exogenous factors such as weather. While perennial crop production is properly regarded as a dynamic investment under uncertainty, the literature on regional ag...