Editorial: Greenhouse Gas Emissions Mitigation From Agricultural and Horticultural Systems

Schwarz, Dietmar; Harrison, Matthew T.; Katsoulas, Ν.

doi:10.3389/fsufs.2022.842848

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…In this context, Qian et al [10] highlighted the significant contribution of agriculture in GHG emissions, focusing on methane (CH 4 ) and nitrous oxide (N 2 O), specifically for rice agriculture, while also providing valuable insights into post-harvest management and soil treatments as practical mitigation strategies. Similarly, Schwarz et al [11] investigated various GHG emission mitigation strategies catered towards agricultural and horticultural systems, specifically focusing on the effects of extreme weather events and the assessment of nitrogen usage efficiency in dairy farms.…”

Section: Related Work and Survey Scopementioning

confidence: 99%

Smart Agriculture and Greenhouse Gas Emission Mitigation: A 6G-IoT Perspective

Polymeni,

Skoutas,

Sarigiannidis

et al. 2024

Electronics

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Smart farming has emerged as a promising approach to address the agriculture industry’s significant contribution to greenhouse gas (GHG) emissions. However, the effectiveness of current smart farming practices in mitigating GHG emissions remains a matter of ongoing debate. This review paper provides an in-depth examination of the current state of GHG emissions in smart farming, highlighting the limitations of existing practices in reducing GHG emissions and introducing innovative strategies that leverage the advanced capabilities of 6G-enabled IoT (6G-IoT). By enabling precise resource management, facilitating emission source identification and mitigation, and enhancing advanced emission reduction techniques, 6G-IoT integration offers a transformative solution for managing GHG emissions in agriculture. However, while smart agriculture focuses on technological applications for immediate efficiency gains, it also serves as a crucial component of sustainable agriculture by providing the tools necessary for long-term environmental supervision and resource sustainability. As a result, this study also contributes to sustainable agriculture by providing insights and guiding future advancements in smart farming, particularly in the context of 6G-IoT, to develop more effective GHG mitigation strategies for smart farming applications, promoting a more sustainable agricultural future.

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Section: Related Work and Survey Scopementioning

confidence: 99%

Smart Agriculture and Greenhouse Gas Emission Mitigation: A 6G-IoT Perspective

Polymeni,

Skoutas,

Sarigiannidis

et al. 2024

Electronics

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“…This study [54] addresses measurement protocols, modeling for upscaling field measurements, and the impacts of agricultural practices on GHG emissions. It delves into potential changes in land use, livestock management, and manure management, also providing a comprehensive view of available mitigation options.…”

Section: Related Workmentioning

confidence: 99%

A Platform for GHG Emissions Management in Mixed Farms

Popa,

Laurent,

Popa

et al. 2023

Agriculture

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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 (CH4) and nitrous oxide (N2O), 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.

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