Abstract
Method for Near Infrared: NIR reflectance estimation with visible camera data based on regression for Normalized Vegetation Index: NDVI estimation is proposed together with its application for insect damage detection of rice paddy fields. Through experiments at rice paddy fields which is situated at Saga Prefectural Agriculture Research Institute SPARI in Saga city, Kyushu, Japan, it is found that there is high correlation between NIR reflectance and Green color reflectance. Therefore, it is possible to estimate NIR reflectance with visible camera data which results in possibility of estimation of NDVI with drone mounted visible camera data. As is well known that the protein content in rice crops is highly correlated with NIR intensity, or reflectance of rice leaves, it is possible to estimate rice crop quality with drone based visible camera data.
Highlights
Vitality monitoring of vegetation is attempted with photographic cameras [1]
Method for Near Infrared: NIR reflectance estimation with visible camera data based on regression for Normalized Vegetation Index: NDVI estimation is proposed together with its application for insect damage detection of rice paddy fields
Through experiments at rice paddy fields which is situated at Saga Prefectural Agriculture Research Institute SPARI in Saga city, Kyushu, Japan, it is found that there is high correlation between NIR reflectance and Green color reflectance
Summary
Vitality monitoring of vegetation is attempted with photographic cameras [1]. Grow rate monitoring is attempted with spectral reflectance measurements [2]. Rice paddy field monitoring with radio-control drone mounting visible and Near Infrared: NIR camera is proposed [10] while the method for rice quality evaluation through nitrogen content in rice leaves is proposed [11]. Rice crop quality and harvest amount is evaluated as a function of water supply condition and fertilizer amount and rice stump density These evaluation methods are well reported in the previous papers [12]. One of the effective methods for detection of insect damage is to monitor rice paddy field with drone mounted cameras. The proposed method is intended for estimation of NIR reflectance with visible camera data for estimation of NDVI which results in estimation of vigor, rice crop quality, and harvest amount. The experimental results are validated followed by conclusion with some discussions
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Research in Artificial Intelligence
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
