Application remote sensing for rice yield estimation: a methodology review

Isnaini Dairina; Sigit Heru Murti; Rika Harini

doi:10.1117/12.3009589

29 January 2024 Application remote sensing for rice yield estimation: a methodology review

Isnaini Dairina, Sigit Heru Murti, Rika Harini

Proceedings Volume 12977, Eighth Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet; 129770F (2024) https://doi.org/10.1117/12.3009589
Event: 8th Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet, 2023, Yogyakarta, Indonesia

Abstract

Precision agriculture is an integrated farming system based on information and production, to increase the efficiency, productivity and profitability of agricultural production. The application of remote sensing for monitoring rice growth and calculating rice yields is considered more effective than conventional calculation methods. This study aims to review the application of remote sensing for mapping paddy fields and forecasting rice production. The review includes rice characteristics that can be sensed through remote sensing images, types of images, rice yield estimation models, and remote sensing analysis approaches. The study shows that optical and radar images are capable of mapping paddy fields and providing information on rice production by relying on the phenological of rice. Empirical, process-based, and semi-empirical estimation models provide information with different levels of accuracy and scale. The spatial ecological approach is able to examine the relationship between the suitability of paddy fields and production yields, while the spectral approach relies on the transformation of the vegetation index with production yields. Research on rice yield estimation is suggested to go to the field to test the accuracy of mapping paddy fields and interview farmers to obtain data on rice production.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Isnaini Dairina, Sigit Heru Murti, and Rika Harini "Application remote sensing for rice yield estimation: a methodology review", Proc. SPIE 12977, Eighth Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet, 129770F (29 January 2024); https://doi.org/10.1117/12.3009589

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KEYWORDS

Vegetation

Near infrared

Remote sensing

Data modeling

Radar

Reflection

Agriculture

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