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Unmanned Aerial Vehicle for fertilizer management to adjust future fertilizer application rates
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- MATSUMURA Kanichiro
- Principal Investigator
- 東京農業大学
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- 井上 聡
- Co-Investigator
- 国立研究開発法人農業・食品産業技術総合研究機構
About This Project
- Japan Grant Number
- JP16K00658 (JGN)
- Funding Program
- Grants-in-Aid for Scientific Research
- Funding Organization
- Japan Society for the Promotion of Science
Kakenhi Information
- Project/Area Number
- 16K00658
- Research Category
- Grant-in-Aid for Scientific Research (C)
- Allocation Type
-
- Multi-year Fund
- Review Section / Research Field
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- Integrated Disciplines > Environmental science > Sustainable and environmental system development > Design and evaluation of sustainable and environmental conscious system
- Research Institution
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- Tokyo University of Agriculture
- Project Period (FY)
- 2016-04-01 〜 2019-03-31
- Project Status
- Completed
- Budget Amount*help
- 4,680,000 Yen (Direct Cost: 3,600,000 Yen Indirect Cost: 1,080,000 Yen)
Research Abstract
Over-fertilizing has negative effects on water quality and affects the animals and people who use it. The researcher conducted experiments aimed at reducing fertilizer consumption. The analysis of two different images taken before and after the harvest period clearly shows a highlighted portion of the test area that might be over-fertilized. UAVs equipped with cameras using both the RGB portion of the visible light spectrum and the near infrared portion of the electromagnetic spectrum (780nm to 2500nm) take Blue Normalized Difference Vegetation Index (BNDVI: Blue band is near infrared portion in this research) images. Comparing the images can detect possible over-fertilized areas. This data can then be used to adjust future fertilizer application rates. Experiments conducted in 2017 and 2018 and upcoming experiments in 2019 are discussed. Adjusting the analysis for BNDVI intensity and comparing UAV sourced images with satellite remote sensing data began in 2018.