Estimation of Paddy Leaf Nitrogen Status using a Single Sensor Multispectral Camera

Muliady Muliady, Tien Lim, Voon Koo, Nathaniel Winata

2021

Abstract

Rice consumption will be increasing by 26% in the next 25 years since 2010. The common practice to achieve high rice production is by fertilizing the paddy with a proper quantity of nutrients, especially nitrogen (N). A lot of previous researches were done to estimate the paddy N status, starting from using a simple Leaf Color Chart (LCC) to high technology hyperspectral images taken from a satellite. This research used a MAPIR Survey3 multispectral camera, which is affordable and gives the advantage of a quick and efficient practice. The problem came out due to the impossible to fully separate the spectral channels of the images, which causes low accuracy and imprecise data. This research objective is to correct the data by relating it with a SPAD meter. A total of 75 paddy plants were sampled in the panicle initiation stage from two paddy fields located at Margaasih and Cimahi, Jawa Barat, Indonesia. The Normalized Difference Vegetation Index (NDVI) for each image was calculated after calibrated, cropped, and segmented. The result is a regression of a 2nd order equation with 6.96% of mean error. The regression equation was used to create a SPAD color map to estimate the paddy leaf N-status.

Paper Citation

in Harvard Style

Muliady M., Lim T., Koo V. and Winata N. (2021). Estimation of Paddy Leaf Nitrogen Status using a Single Sensor Multispectral Camera. In Proceedings of the 1st International Conference on Emerging Issues in Technology, Engineering and Science - Volume 1: ICE-TES, ISBN 978-989-758-601-9, pages 26-31. DOI: 10.5220/0010743900003113

in Bibtex Style

@conference{ice-tes21,
author={Muliady Muliady and Tien Lim and Voon Koo and Nathaniel Winata},
title={Estimation of Paddy Leaf Nitrogen Status using a Single Sensor Multispectral Camera},
booktitle={Proceedings of the 1st International Conference on Emerging Issues in Technology, Engineering and Science - Volume 1: ICE-TES,},
year={2021},
pages={26-31},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010743900003113},
isbn={978-989-758-601-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Emerging Issues in Technology, Engineering and Science - Volume 1: ICE-TES,
TI - Estimation of Paddy Leaf Nitrogen Status using a Single Sensor Multispectral Camera
SN - 978-989-758-601-9
AU - Muliady M.
AU - Lim T.
AU - Koo V.
AU - Winata N.
PY - 2021
SP - 26
EP - 31
DO - 10.5220/0010743900003113