Agriculture System Modeling to Increase Productivity and Production Through Sustainable Resource Management

Abstract

Mismanagement of soil nutrients, poor site selection of loose soil, steep slopes for agriculture, parallel contour plowing, ground cover removal, and slash-and-burn contribute to soil degradation and erosion. Therefore, developing strategies and policies related to improving productivity, production, and better resource management is important to achieve a sustainable agriculture system. This paper aims to provide an analytical model of the agriculture system to increase productivity and production through sustainable resource management. System dynamics (SD) modeling was used to model the relationships between significant variables in improving land productivity, production, and sustainable resource management. SD can accommodate complexity and nonlinearity in real systems. Increasing resource management is required to achieve a sustainable agriculture system. Better resource management can be done using superior seeds according to location, balanced fertilization, and the application of plant-based pesticides. Productivity depends on water availability, rainfall, temperature, seed quality, the effect of the Jajar Legowo planting system, pest and disease control, soil nutrients, and soil fertility. Rice production is affected by milled rice production, rendement, and lost seeds.