Android-based rice leaf color analyzer for estimating the needed amount of nitrogen fertilizer

Computers and Electronics in Agriculture

Volumn 116, Issue , 2015, Pages 228-233

  Intaravanne, Yuttana ^a   Sumriddetchkajorn, Sarun ^a  

^a NATIONAL ELECTRONICS AND COMPUTER TECHNOLOGY CENTER   (Thailand)

Author keywords

Color analyzers; Color visibility; Image analysis; Leaf color charts; Mobile devices; Optical sensor

Indexed keywords

AGRICULTURE; ANDROID (OPERATING SYSTEM); COLOR IMAGE PROCESSING; FERTILIZERS; IMAGE ANALYSIS; MOBILE DEVICES; NITROGEN; NITROGEN FERTILIZERS; OPTICAL SENSORS;

APPLICATION STORES; COLOR ANALYZERS; ENVIRONMENTAL FLUCTUATIONS; EXTERNAL COMPONENTS; LEAF COLOR; N FERTILIZERS; NITROGEN STATUS; TWO DIMENSIONAL (2 D);

COLOR;

ACCURACY ASSESSMENT; AGRICULTURAL WORKER; FERTILIZER APPLICATION; IMAGE ANALYSIS; INTERNET; LEAF MORPHOLOGY; MOBILE COMMUNICATION; NITROGEN; OPTICAL PROPERTY; RICE; TWO-DIMENSIONAL MODELING;

EID: 84937131150     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2015.07.005     Document Type: Article

References (29)

1. Cantrell K., Erenas M.M., de Orbr-Payá I., Capitán-Vallvey L.F. Use of the hue parameter of the hue, saturation, value color space as a quantitative analytical parameter for bitonal optical sensors. Anal. Chem. 2010, 82:531-542.
2. Chlorophyll meters to detect N stress, 2010. In: Tools for in-Field Nitrogen Evaluation. 4, 5-6. Ag Technology & Environmental Stewardship Foundation (ATESF).
3. Evans J.R. Nitrogen and photosynthesis in the flag leaf of wheat. Plant Physiol. 1983, 72:297-302.
4. Funt B., Bastani P. Irradiance-independent camera color calibration. Color Res. Appl. 2014, 39:540-548.
5. Furuya S. Growth diagnosis of rice plant by means of leaf color. Jpn. Agric. Res. Quart. 1987, 20:147-153.
6. García A., Erenas M.M., Marinetto E.D., Abad C.A., de Orbe-Paya I., Palma A.J., Capitán-Vallvey L.F. Mobile phone platform as portable chemical analyzer. Sens. Actuat. B: Chem. 2011, 156:350-359.
7. Global mobile statistics, 2012. http://mobithinking.com/mobile-marketing-tools/latest-mobile-stats.
8. Gómez-Robledo L., López-Ruiz N., Melgosa M., Palma A.J., Capitán-Vallvey L.F., Sánchez-Marañón M. Using the mobile phone as Munsell soil-colour sensor: an experiment under controlled illumination conditions. Comput. Electron. Agric. 2013, 99:200-208.
9. Google play, 2013. https://play.google.com/store.
10. Google play, 2015. https://play.google.com/store/apps/details?id=ptl.baikhaonk.\.
11. Intaravanne Y., Sumriddetchkajorn S. BaiKhao (Rice Leaf) app: a mobile device-based application in analyzing the color level of the rice leaf for nitrogen estimation. Proc. SPIE 2012, 8558:85580F.
12. Intaravanne Y., Sumriddetchkajorn S., Nukeaw J. Cell phone-based two-dimensional spectral analysis for banana ripeness estimation. Sens. Actuat. B: Chem. 2012, 168:390-394.
13. Islam Z., Bagchi B., Hossain M. Adoption of leaf color chart for nitrogen use efficiency in rice: impact assessment of a farmer-participatory experiment in West Bengal, India. Field Crops Res. 2007, 103:70-75.
14. Krannuch L. Using leaf color chart for nitrogen fertilizer management in irrigated rice fields. Rice Res. Inst. 2005, 1-11.
15. Limhoon P., Bualert S. Variation of net radiation and solar spectrum in Thailand. Int. J. Environ. Sci. Dev. 2013, 4:107-110.
16. Sánchez-Marañón M., Delgado G., Delgado R., Pérez M.M., Melgosa M. Spectroradiometric and visual color measurements of disturbed and undisturbed soil samples. Soil Sci. 1995, 160:291-303.
17. Sánchez-Marañón M., Garcia P.A., Huertas R., Hernandez-Andres J., Melgosa Manuel Influence of natural daylight on soil color description: assessment using a color appearance model. Soil Sci. Soc. Am. J. 2011, 75:984-993.
18. Sánchez-Marañón M., Huertas R., Melgosa M. Colour variation in standard soil-colour charts. Aust. J. Soil Res. 2015, 43:827-837.
19. Shen L., Hagan J.A., Papautsky I. Point-of-care colorimetric detection with a smartphone. Lab Chip 2012, 12:4240-4243.
20. Shiga, H., Miyazaki, N., Sekiya, S., 1977. Time of fertilizer application in relation to the nutrient requirement of rice plants at successive steps. In: Proceedings of the International Seminar on Soil Environment and Fertility Management in Intensive Agriculture, pp. 223-229.
21. Sumriddetchkajorn S., Intaravanne Y. Low-cost light-emitting-diode based leaf color meter for nitrogen status estimation in the rice field. Proc. SPIE 2010, 7847:784707.
22. Sumriddetchkajorn S., Intaravanne Y. Single wavelength-based rice leaf color analyzer for nitrogen estimation. Opt. Lasers Eng. 2014, 53:179-184.
23. Sumriddetchkajorn S., Somboonkaew A. Low-cost cell phone-based digital lux meter. Proc. SPIE 2010, 7853:78530L.
24. Sumriddetchkajorn S., Somboonkaew A., Chanhorm S. Mobile device-based digital microscopy for education, healthcare, and agriculture. Proc. ECTI 2012, 1-4.
25. Sumriddetchkajorn S., Chaitavon K., Intaravanne Y. Mobile device-based self-referencing colorimeter for monitoring chlorine concentration in water. Sens. Actuat. B: Chem. 2013, 182:592-597.
26. Sumriddetchkajorn S., Chaitavon K., Intaravanne Y. Mobile-platform based colorimeter for monitoring chlorine concentration in water. Sens. Actuat. B: Chem. 2014, 191:561-566.
27. Watanabe S., Hatanaka Y., Inada K. Development of a digital chlorophyll meter: I. structure and performance. Jpn. J. Crop. Sci. 1980, 49:89-90.
28. Witt C., Pasuquin J.M.C.A., Mutters R., Buresh R.J. New leaf color chart for effective nitrogen management in rice. Better Crops 2005, 89:36-39.
29. Yang W.-H., Peng S., Huang J., Sanico A.L., Buresh R.J., Witt C. Using leaf color charts to estimate leaf nitrogen status of rice. Agron. J. 2003, 95:212-217.