Variable rate fertilization based on spectral index and remote sensing

Shuqiang Li; Minzan Li; Yongjun Ding; Ruijiao Zhao

doi:10.1117/12.866211

16 November 2010 Variable rate fertilization based on spectral index and remote sensing

Shuqiang Li, Minzan Li, Yongjun Ding, Ruijiao Zhao

Proceedings Volume 7857, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications III; 785719 (2010) https://doi.org/10.1117/12.866211
Event: SPIE Asia-Pacific Remote Sensing, 2010, Incheon, Korea, Republic of

Abstract

Variable rate fertilization can meet the needs of crop growth with low pollution of the environment resulted in by excess fertilization, and has therefore become an important part of precision agriculture. Variable rate fertilization requires a precise access to growing crops and spatial distribution. It is the key to precision agriculture technology in accessing the crop information based on spectroscopy and remote sensing technologies. This paper outlines our efforts to find a way to combine the information of growth with the spatial location information in a common way. Ground-based Remote Sensing Instrument GreenSeeker is used to analyze the biological characteristics of winter wheat in the spatial variability. The experiments are conducted during the period of rviving, early jointing, and late jointing. The measurement result is calculated according to GreenSeeker canopy NDVI data and the canopy chlorophyll content is obtained by using laboratory analysis. The analysis of NDVI data of canopy leaves and chlorophyll content and spatial distribution trends shows that the NDVI data of canopy are influenced by environmental factors such as the surface coverage during the period of reviving. The data of chlorophyll are at a low level and quite different at region distribution. As the wheat growth stage changes, the spatial variability and the chlorophyll content are going to decrease, and in more evenly distributed. It is proved that the analysis of spatial distribution can accurately grasp the biological characteristics and distribution information of the winter wheat in experimental area, and provide the basis for variable management.

Citation Download Citation

Shuqiang Li, Minzan Li, Yongjun Ding, and Ruijiao Zhao "Variable rate fertilization based on spectral index and remote sensing", Proc. SPIE 7857, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications III, 785719 (16 November 2010); https://doi.org/10.1117/12.866211

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available