Skip to main navigation Skip to search Skip to main content

Fertilization rate optimization model for potato crops to maximize yield while reducing polluting nitrogen emissions

  • Universidad Central

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Sustainable agriculture plays a crucial role in addressing climate change and pollution. Farmers must strive to strike a balance between increasing production and reducing environmental impacts. In Colombia, the limited use of technology in agriculture often results in a lack of timely and accurate information for decision making, including determining nitrogen fertilizer rates. To address this, we present a fertilization rate optimization model for potato crops aimed at maximizing yield and minimizing nitrogen emissions to the environment for Colombian potato farmers. In a central region of Colombia, four crop zones were identified and their responses to different fertilizers were studied. The optimization model was structured with two main constraints: limiting the total polluting nitrogen emissions (nitrous oxide N2O, ammonia NH3, Runoff, leaching) from applied nitrogenous fertilizer, and limiting the economic investment associated with the cost of the fertilizers. The model allows for analysis of different scenarios. The results indicate that emissions can be reduced by 7.5% through the use of 70.28 fewer kilograms of fertilizer, with only a 0.35% decrease in the final benefit.

Original languageEnglish
Article number110498
JournalEcological Modelling
Volume485
DOIs
StatePublished - Nov 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Nitrogen emission
  • Nitrogen fertilization rates
  • Nonlinear optimization
  • Over fertilization
  • Precision agriculture

Fingerprint

Dive into the research topics of 'Fertilization rate optimization model for potato crops to maximize yield while reducing polluting nitrogen emissions'. Together they form a unique fingerprint.

Cite this