388
E. Taira
References
1. P. Tillmann, T.-C. Reinhardt, C. Paul, Networking of near infrared spectroscopy instruments for
rapeseed analysis: a comparison of different procedures. J. Near Infrared Spectrosc. 8, 101–107
(2000)
2. E. Taira, M. Ueno, N. Furukawa, A. Tasaki, Y. Komaki, J.-I. Nagai, K. Saengprachatanarug,
Networking system employing near infrared spectroscopy for sugarcane payment in Japan. J.
Near Infrared Spectrosc. 21, 477 (2013)
3. K. Watanabe, M. Nakabaru, E. Taira, M. Ueno, Y. Kawamitsu, Relationships between nutrients
and sucrose concentrations in sugarcane juice and use of juice analysis for nutrient diagnosis
in Japan. Plant Prod. Sci. 19, 215–222 (2016)
4. M. Kumi, Feedback of the fruit quality data measured by N1R spectropbotometer to production
control using GIS and taking new turn of agricultural research. Horticult. Res. (Japan) 3,
245–250 (2004)
5. S. Morimoto, W.F. McClure, B. Crowell, D.L. Stanfield, Near infrared technology for precision
environmental measurements: part 2. Determination of carbon in green grass tissue. J. Near
Infrared Spectrosc. 11, 257–267 (2003)
6. W.F. McClure, B. Crowell, D.L. Stanfield, S. Mohapatra, S. Morimoto, G. Batten, Near infrared
technology for precision environmental measurements: part 1. Determination of nitrogen in
green- and dry-grass tissue. J. Near Infrared Spectrosc. 10, 177–185 (2002)
7. E. Taira, M. Ueno, Y. Kawamitsu, R. Matsukawa, High efficient diagnosis of sugarcane farm
land using NIR Spectroscopy networking system, in Proceedings of International Society of
Sugar Cane Technologists (2007), pp. 143–149
8. M. Ueno, Y. Kawamitsu, L. Sun, E. Taira, K. Maeda, Combined applications of NIR, RS and
GIS for sustainable sugarcane production. Sugar Cane Inter. 23, 8–11 (2005)
9. A. Phuphaphud, K. Saengprachatanarug, J. Posom, K. Maraphum, E. Taira, Prediction of
the fibre content of sugarcane stalk by direct scanning using visible-shortwave near infrared
spectroscopy. Vib. Spectrosc. 101, 71–80 (2019)
10. K. Maraphum, S. Chuan-Udom, K. Saengprachatanarug, S. Wongpichet, J. Posom, A. Phuphaphud, E. Taira, Effect of waxy material and measurement position of a sugarcane stalk on the
rapid determination of Pol value using a portable near infrared instrument. J. Near Infrared
Spectrosc. 26, 287–296 (2018)
11. E. Taira, M. Ueno, K. Saengprachatanarug, Y. Kawamitsu, Direct sugar content analysis for
whole stalk sugarcane using a portable near infrared instrument. J. Near Infrared Spectrosc.
21, 281–287 (2013)
12. R. Colombo, M. Meroni, A. Marchesi, L. Busetto, M. Rossini, C. Giardino, C. Panigada,
Estimation of leaf and canopy water content in poplar plantations by means of hyperspectral
indices and inverse modeling. Remote Sens. Environ. 112, 1820–1834 (2008)
13. M.F.d. Souza, L.R.d. Amaral, S.R.d.M. Oliveira, M.A.N. Coutinho, C. Ferreira Netto, Spectral
differentiation of sugarcane from weeds. Biosyst. Eng. 190, 41–46 (2020)
14. C. Chea, K. Saengprachatanarug, J. Posom, M. Wongphati, E. Taira, Sugar Yield Parameters
and Fiber Prediction in Sugarcane Fields Using a Multispectral Camera Mounted on a Small
Unmanned Aerial System (UAS) (Sugar Tech, 2020), pp. 1–17
15. S. Shibusawa, Soil sensors for precision farming, Handbook of Precision Agriculture (CRC
Press, 2006), pp. 87–120
16. M. Kodaira, S. Shibusawa, Using a mobile real-time soil visible-near infrared sensor for high
resolution soil property mapping. Geoderma 199, 64–79 (2013)
17. K. Bougot-Robin, J. Paget, S.C. Atkins, J.B. Edel, Optimization and design of an absorbance
spectrometer controlled using a raspberry Pi to improve analytical skills. J. Chem. Educ. 93,
1232–1240 (2016)
E. Taira
References
1. P. Tillmann, T.-C. Reinhardt, C. Paul, Networking of near infrared spectroscopy instruments for
rapeseed analysis: a comparison of different procedures. J. Near Infrared Spectrosc. 8, 101–107
(2000)
2. E. Taira, M. Ueno, N. Furukawa, A. Tasaki, Y. Komaki, J.-I. Nagai, K. Saengprachatanarug,
Networking system employing near infrared spectroscopy for sugarcane payment in Japan. J.
Near Infrared Spectrosc. 21, 477 (2013)
3. K. Watanabe, M. Nakabaru, E. Taira, M. Ueno, Y. Kawamitsu, Relationships between nutrients
and sucrose concentrations in sugarcane juice and use of juice analysis for nutrient diagnosis
in Japan. Plant Prod. Sci. 19, 215–222 (2016)
4. M. Kumi, Feedback of the fruit quality data measured by N1R spectropbotometer to production
control using GIS and taking new turn of agricultural research. Horticult. Res. (Japan) 3,
245–250 (2004)
5. S. Morimoto, W.F. McClure, B. Crowell, D.L. Stanfield, Near infrared technology for precision
environmental measurements: part 2. Determination of carbon in green grass tissue. J. Near
Infrared Spectrosc. 11, 257–267 (2003)
6. W.F. McClure, B. Crowell, D.L. Stanfield, S. Mohapatra, S. Morimoto, G. Batten, Near infrared
technology for precision environmental measurements: part 1. Determination of nitrogen in
green- and dry-grass tissue. J. Near Infrared Spectrosc. 10, 177–185 (2002)
7. E. Taira, M. Ueno, Y. Kawamitsu, R. Matsukawa, High efficient diagnosis of sugarcane farm
land using NIR Spectroscopy networking system, in Proceedings of International Society of
Sugar Cane Technologists (2007), pp. 143–149
8. M. Ueno, Y. Kawamitsu, L. Sun, E. Taira, K. Maeda, Combined applications of NIR, RS and
GIS for sustainable sugarcane production. Sugar Cane Inter. 23, 8–11 (2005)
9. A. Phuphaphud, K. Saengprachatanarug, J. Posom, K. Maraphum, E. Taira, Prediction of
the fibre content of sugarcane stalk by direct scanning using visible-shortwave near infrared
spectroscopy. Vib. Spectrosc. 101, 71–80 (2019)
10. K. Maraphum, S. Chuan-Udom, K. Saengprachatanarug, S. Wongpichet, J. Posom, A. Phuphaphud, E. Taira, Effect of waxy material and measurement position of a sugarcane stalk on the
rapid determination of Pol value using a portable near infrared instrument. J. Near Infrared
Spectrosc. 26, 287–296 (2018)
11. E. Taira, M. Ueno, K. Saengprachatanarug, Y. Kawamitsu, Direct sugar content analysis for
whole stalk sugarcane using a portable near infrared instrument. J. Near Infrared Spectrosc.
21, 281–287 (2013)
12. R. Colombo, M. Meroni, A. Marchesi, L. Busetto, M. Rossini, C. Giardino, C. Panigada,
Estimation of leaf and canopy water content in poplar plantations by means of hyperspectral
indices and inverse modeling. Remote Sens. Environ. 112, 1820–1834 (2008)
13. M.F.d. Souza, L.R.d. Amaral, S.R.d.M. Oliveira, M.A.N. Coutinho, C. Ferreira Netto, Spectral
differentiation of sugarcane from weeds. Biosyst. Eng. 190, 41–46 (2020)
14. C. Chea, K. Saengprachatanarug, J. Posom, M. Wongphati, E. Taira, Sugar Yield Parameters
and Fiber Prediction in Sugarcane Fields Using a Multispectral Camera Mounted on a Small
Unmanned Aerial System (UAS) (Sugar Tech, 2020), pp. 1–17
15. S. Shibusawa, Soil sensors for precision farming, Handbook of Precision Agriculture (CRC
Press, 2006), pp. 87–120
16. M. Kodaira, S. Shibusawa, Using a mobile real-time soil visible-near infrared sensor for high
resolution soil property mapping. Geoderma 199, 64–79 (2013)
17. K. Bougot-Robin, J. Paget, S.C. Atkins, J.B. Edel, Optimization and design of an absorbance
spectrometer controlled using a raspberry Pi to improve analytical skills. J. Chem. Educ. 93,
1232–1240 (2016)