Assessment and analysis model design for energy saving and carbon reduction of farmland arrangement project

Menghui Gao; Nur Ilya Farhana Md Noh; Ng Jing Lin

doi:10.1117/12.2657408

18 October 2022 Assessment and analysis model design for energy saving and carbon reduction of farmland arrangement project

Menghui Gao, Nur Ilya Farhana Md Noh, Ng Jing Lin

Author Affiliations +

Proceedings Volume 12349, International Conference on Agri-Photonics and Smart Agricultural Sensing Technologies (ICASAST 2022); 123490X (2022) https://doi.org/10.1117/12.2657408
Event: International Conference on Agri-Photonics and Smart Agricultural Sensing Technologies (ICASAST 2022), 2022, Zhengzhou, China

Abstract

The implementation of farmland arrangement project in China has an important role in providing capacity of unified construction and reducing carbon emissions from farmland. The traditional energy saving and carbon reduction assessment and analysis model for farmland arrangement project has mismatched description indexes, and the reconstruction of assessment index system can provide some support for farmland arrangement project, for which the assessment index system is redesigned and an energy saving and carbon reduction assessment and analysis model for farmland arrangement project is established to evaluate the effect of farmland arrangement project. According to the carbon emission in farmland cultivation, the new carbon reduction assessment index system is constructed, the carbon change in the farmland arrangement project is calculated, the weights of each index in the system are determined, the overall assessment process of the model is planned, and the assessment results of the model are finally analyzed.

Citation Download Citation

Menghui Gao, Nur Ilya Farhana Md Noh, and Ng Jing Lin "Assessment and analysis model design for energy saving and carbon reduction of farmland arrangement project", Proc. SPIE 12349, International Conference on Agri-Photonics and Smart Agricultural Sensing Technologies (ICASAST 2022), 123490X (18 October 2022); https://doi.org/10.1117/12.2657408

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