Search
Context-specific assessments of carbon footprints of the rice value chain: from product labeling to potential mitigation impacts

June 5, 2023 | International Journal of Life Cycle Assessment | Source |

 

Introduction: The study, led by researchers from the International Rice Research Institute (IRRI), investigates innovative tools for assessing greenhouse gas (GHG) emissions and carbon footprints (C-footprints) in rice production. It introduces a digital information system tailored for tracking and labeling rice C-footprints and evaluates mitigation strategies using context-specific GHG metrics. Addressing rice's significant contribution to agricultural emissions (13–14%), the research supports efforts to align rice production with climate goals.

Key findings: The study presents a framework featuring three tools to assess C-footprints and GHG emissions in rice production. The application “DISPLAY” enhances transparency with QR-coded labels, allowing users to customize emission factors based on local practices and technologies. “CF-Rice” monitors emissions along the value chain, enabling detailed tracking of GHG outputs at different stages, while “SECTOR” evaluates mitigation strategies under various scenarios. Key findings reveal that harvest losses contribute 22% of emissions, higher yields reduce C-footprints but increase fertilizer-related emissions, and mitigation strategies, such as multiple drainage systems, reduce methane emissions. Site-specific nutrient management improves nitrogen efficiency by 30–40%, reduces fertilizer use by 25% without yield loss, and significantly decreases nitrous oxide emissions. Together, these tools advance sustainable rice production with the potential for broader applications, particularly in crops like wheat or maize. Their effectiveness depends on high-quality localized data and coordinated stakeholder collaboration to address challenges in scalability and regional adaptability.

 

Figure | Accumulation of GHG emissions and product mass balance along the value chain under baseline conditions (a) alongside the yield-scaled emission (b) and carbon footprint (c); arrows indicate the respective stages when these parameters are calculated.

Viewed Articles
Context-specific assessments of carbon footprints of the rice value chain: from product labeling to potential mitigation impacts
June 5, 2023 | International Journal of Life Cycle Assessment | Source |  Introduction: The study, led by researchers from the International Rice Research Institute (IRRI), investigates innovative too
Read More
Review of artificial intelligence and internet of things technologies in land and water management research during 1991-2021: A bibliometric analysis
August 2023 | ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE The Indian Agricultural Research Institute conducted a study to address the challenges faced by agricultural systems and food security
Soil organic matter content detection system based on high-temperature excitation principle
November 30, 2023 | Computers and Electronics in Agriculture |  Introduction: Precision agriculture involves using advanced technology to optimize crop growth, and soil organic matter for crop growth.
Precise irrigation water and nitrogen management improve water and nitrogen use efficiencies under conservation agriculture in the maize-wheat systems
July 26, 2023 | Scientific Reports |  Introduction: Over a three-year field experiment aimed at addressing underground water depletion and ensuring agrifood system sustainability, researchers from Int
Enhancing climate change resilience in agricultural crops
December 04, 2023 | Current Biology |  Introduction: To ensure food security for a burgeoning global population, a 28% increase in global agricultural production is required over the next decade. Howe
More than two decades of research on IoT in agriculture: a systematic literature review
MAR 2, 2023 | INTERNET RESEARCH Agriculture holds great potential for the Internet of Things (IoT) to revolutionize the sector, but its adoption has been slower than anticipated. A systematic review c
TOP