4.7 Article

Environmental LCA of Precision Agriculture for Stone Fruit Production

Journal

AGRONOMY-BASEL
Volume 12, Issue 7, Pages -

Publisher

MDPI
DOI: 10.3390/agronomy12071545

Keywords

life cycle analysis; variable application of inputs; stone fruit; nectarine

Funding

  1. MCIN/AEI [RTI2018-099139-B-C22]
  2. ERDF a way of making Europe
  3. Universidad de Magallanes from Chile
  4. Agencia Nacional de Investigacion y Desarrollo (Chile)/Becas Chile de Doctorado en el Extranjero 2019 [72200450]

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Precision agriculture is a concept aimed at optimizing agricultural management. This study evaluates the environmental and economic performance of precision agriculture practices on nectarine production using a life cycle approach. The results show that precision agriculture techniques reduce input requirements, resulting in significant economic and environmental savings.
Precision agriculture is a concept that encompasses various technologies aimed at optimizing the management of agricultural activities. The main aim of this investigation is to evaluate the environmental and economic performance of precision agriculture practices on the production of a stone fruit crop (nectarine) using a life cycle approach and to consider a cradle-to-farm gate scope. The results have been compared against the traditional uniform application (UA). The analysis considers five impact categories, including climate change, photochemical ozone formation, acidification, eutrophication, and water use. The foreground inventory data was provided by a local producer in Southern Spain, and the background information was sourced from commercial Life Cycle Inventory (LCI) databases. The results show that the manufacturing of crop inputs (mainly fertilizers, but also crop management inputs) is responsible for most of the damage generated in all the impact categories, except for water use. The reduced input requirements associated with the application of VA techniques resulted in significantly lower economic costs and environmental savings throughout the life cycle of the production system, which ranged on average between 12-26%.

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