A Platform for GHG Emissions Management in Mixed Farms

Dana Cătălina Popa, Yolanda Laurent (), Răzvan Alexandru Popa (), Adrian Pasat, Mihaela Bălănescu, Ekaterina Svertoka, Elena Narcisa Pogurschi, Livia Vidu and Monica Paula Marin
Additional contact information
Dana Cătălina Popa: Faculty of Animal Productions Engineering and Management, University of Agronomic Sciences and Veterinary Medicine of Bucharest, 011464 Bucharest, Romania
Yolanda Laurent: R&D Department, BEIA Consult International, 041386 Bucharest, Romania
Răzvan Alexandru Popa: Faculty of Animal Productions Engineering and Management, University of Agronomic Sciences and Veterinary Medicine of Bucharest, 011464 Bucharest, Romania
Adrian Pasat: R&D Department, BEIA Consult International, 041386 Bucharest, Romania
Mihaela Bălănescu: R&D Department, BEIA Consult International, 041386 Bucharest, Romania
Ekaterina Svertoka: R&D Department, BEIA Consult International, 041386 Bucharest, Romania
Elena Narcisa Pogurschi: Faculty of Animal Productions Engineering and Management, University of Agronomic Sciences and Veterinary Medicine of Bucharest, 011464 Bucharest, Romania
Livia Vidu: Faculty of Animal Productions Engineering and Management, University of Agronomic Sciences and Veterinary Medicine of Bucharest, 011464 Bucharest, Romania
Monica Paula Marin: Faculty of Animal Productions Engineering and Management, University of Agronomic Sciences and Veterinary Medicine of Bucharest, 011464 Bucharest, Romania

Agriculture, 2023, vol. 14, issue 1, 1-25

Abstract: This research introduces an innovative platform designed to manage greenhouse gas (GHG) emissions in mixed farms. Emphasizing the urgent need to address GHG emissions, particularly methane (CH 4 ) and nitrous oxide (N 2 O), the platform targets mixed farming systems where the interplay of livestock and crop production significantly contributes to environmental impacts. Our methodology is grounded in comprehensive data collection, encompassing soil data, energy consumption, and detailed livestock information. Utilizing the Agricultural Internet of Things (AIoT), it facilitates real-time data acquisition and analysis, providing insights into various farm activities’ GHG emissions. This approach allows for precise monitoring and management of emissions from different sources, including enteric fermentation in livestock and fertilizer use in crop production. Results from the application show its effectiveness in offering a clear and interactive visualization of GHG emissions, aiding farmers in making informed decisions for sustainable farm management. The platform’s user management system, coupled with advanced data processing and visualization capabilities, underscores its potential as a vital tool for sustainable farming. Conclusively, Solution4Farming represents a significant advancement in digital agriculture, combining IoT technology with sustainable practices. Though initially designed for Romanian cattle farming, Solution4Farming’s anticipated expansion to various farming environments suggests a broader impact and relevance in sustainable agriculture.

Keywords: GHG emissions; IoT; mixed farms; platform (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2077-0472/14/1/78/pdf (application/pdf)
https://www.mdpi.com/2077-0472/14/1/78/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:14:y:2023:i:1:p:78-:d:1310963

Access Statistics for this article

Agriculture is currently edited by Ms. Leda Xuan

More articles in Agriculture from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().