Precise and continuous measurement of plant heights in an agricultural field using a time-lapse camera

Journal of Agricultural Meteorology

Volumn 73, Issue 3, 2017, Pages 100-108

  Mano, Masayoshi ^a  

^a CHIBA UNIVERSITY   (Japan)

Author keywords

Border effect; Crop height; Phenotyping; Plant growth; Rice

Indexed keywords

EID: 85023634133     PISSN: 00218588     EISSN: 18810136     Source Type: Journal    
DOI: 10.2480/agrmet.D-16-00021     Document Type: Article

References (36)

1. Andújar D, Weis M, Gerhards R, 2012: An ultrasonic system for weed detection in cereal crops. Sensors 12, 17343-17357, doi:10.3390/s121217343.
2. Anthony D, Elbaum S, Lorenz A, Detweiler C, 2014: On crop height estimation with UAVs. In IROS 2014 Conference Digest- IEEE/RSJ International Conference on Intelligent Robots and Systems, 4805-4812, doi:10.1109/IROS.2014.6943245.
3. Araus JL, Cairns JE, 2014: Field high-throughput phenotyping: the new crop breeding frontier. Trends in Plant Science 19, 52-61.
4. Austin RB, Blackwell ED, 1980: Edge and neighbor effects in cereal yield trials. The Journal of Agricultural Science 94, 731-734.
5. Barkman JJ, 1988: A new method to determine some characters of vegetation structure. Vegetatio 78, 81-90.
6. Breuer L, Eckhardt K, Frede H-G, 2003: Plant parameter values for models in temperate climates. Ecological Modelling 169, 237-293.
7. Confalonieri R, Bregaglio S, Rosenmund AS, Acutis M, Savin I, 2011: A model for simulating the height of rice plants. European Journal of Agronomy 34, 20-25.
8. Constantino KP, Gonzales EJ, Lazaro LM, Serrano EC, Samson BP, 2015: Plant height measurement and tiller segmentation of rice crops using image processing. Proceedings of the DLSU Research Congress 3, FNH-II-021-1-6.
9. Cornelissen JHC, Lavorel S, Garnier E, Díaz S, Buchmann N, Gurvich DE, Reich PB, ter Steege H, Morgan HD, van der Heijden MGA, Pausas JG, Poorter H, 2003: A handbook of protocols for standardised and easy measurement of plant functional traits worldwide. Australian Journal of Botany 51, 335-380.
10. Friedli M, Kirchgessner N, Grieder C, Liebisch F, Mannale M, Walter A, 2016: Terrestrial 3D laser scanning to track the increase in canopy height of both monocot and dicot crop species under field conditions. Plant Methods 12, 9, DOI 10.1186/s13007-016-0109-7.
11. Gomez KA, 1972: Border effects in rice experimental plots. II. Varietal competition. Experimental Agriculture 8, 295-298.
12. Gomez KA, De Datta SK, 1971: Border effects in rice experimental plots. I. Unplanted borders. Experimental Agriculture 7, 87-92.
13. Hartmann A, Czauderna T, Hoffmann R, Stein N, Schreiber F, 2011: HTPheno: An image analysis pipeline for high-throughput plant phenotyping. BMC Bioinformatics 12, 148. doi:10.1186/1471-2105-12-148.
14. Ishihara K, Sago R, Ogura T, 1978: The relationship between environmental factors and behaviour of stomata in the rice plants. VI. Comparison between the diurnal course of stomatal aperture of rice plants grown in the border and interior of paddy fields. Japanese Journal of Crop Science 47, 515-528.
15. Kim KH, Yang CH, 1984: Varietal difference and growth analysis of border effect in rice plant. Korean Journal of Crop Science 29, 321-327.
16. Laikin M, 2006: Lens Design, Fourth Edition, CRC Press, New York, 512 pp.
17. Li L, Zhang Q, Huang D, 2014: A review of imaging techniques for plant phenotyping. Sensors 14, 20078-20111, doi:10.3390/s141120078.
18. Limb RF, Hickman KR, Engle DM, Norland JE, Fuhlendorf SD, 2007: Digital photography: reduced investigator variation in visual obstruction measurements for southern tallgrass prairie. Rangeland Ecology and Management 60, 548-552.
19. Mano M, Miyata A, Yasuda Y, Nagai H, Yamada T, Ono K, Saito M, Kobayashi Y, 2007: Quality control for the open-path eddy covariance data. Journal of Agricultural Meteorology 63, 125-138.
20. Miyata A, Iwata T, Nagai H, Yamada T, Yoshikoshi H, Mano M, Ono K, Han GH, Harazono Y, Ohtaki E, Baten MA, Inohara S, Takimoto T, Saito M, 2005: Seasonal variation of carbon dioxide and methane fluxes at single cropping paddy fields in central and western Japan. Phyton 45, 89-97.
21. Nguyen TT, Slaughter DC, Townsley BT, Carriedo L, Maloof JN, Shinha N, 2016: In-field plant phenotyping using multi-view reconstruction: an investigation in eggplant. In Proceedings of the 13th International Conference on Precision Agriculture (unpaginated online). Monticello, IL: International Society of Precision Agriculture.
22. 2 flux observed with open-path eddy covariance over a non-vegetated surface. Theoretical and Applied Climatology 92, 195-208.
23. Ono K, Miyata A, Mano M, 2013: Mase flux measurement site. Agricultural Meteorology in Kanto 39, 10-12.
24. Ono K, Mano M, Han GH, Nagai H, Yamada T, Kobayashi Y, Miyata A, Inoue Y, Lal R, 2015: Environmental controls on fallow carbon dioxide flux in a single-crop rice paddy, Japan. Land Degradation & Development 26, 331-339.
25. Robel RJ, Briggs JN, Dayton AD, Hulbert LC, 1970: Relationships between visual obstruction measurements and weight of grassland vegetation. Journal of Range Management 23, 295-297.
26. Saito M, Miyata A, Nagai H, Yamada T, 2005: Seasonal variation of carbon dioxide exchange in rice paddy field in Japan. Agricultural and Forest Meteorology 135, 93-109.
27. Sato K, Takahashi K, 1983: An analysis of the border effect in the rice paddy fields. Japanese Journal of Crop Science 52, 168-176.
28. Schima R, Mollenhauer H, Grenzdörffer G, Merbach I, Lausch A, Dietrich P, Bumberger J, 2016: Imagine all the plants: evaluation of a light-field camera for on-site crop growth monitoring. Remote Sensing 8, 823, doi:10.3390/rs8100823.
29. Sritarapipat T, Rakwatin P, Kasetkasem T, 2014: Automatic rice crop height measurement using a field server and digital image processing. Sensors 14, 900-926, doi:10.3390/s140100900.
30. Tackenberg O, 2007: A new method for non-destructive measurement of biomass, growth rates, vertical biomass distribution and dry matter content based on digital image analysis. Annals of Botany 99, 777-783.
31. Tilly N, Hoffmeister D, Cao Q, Lenz-Wiedemann V, Miao Y, Bareth G, 2013: Precise plant height monitoring and biomass estimation with terrestrial laser scanning in paddy rice. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-5/W2, 295-300, doi:10.5194/isprsannals-II-5-W2-295-2013.
32. Tilly N, Hoffmeister D, Cao Q, Huang S, Lenz-Wiedemann V, Miao Y, Bareth G, 2014: Multitemporal crop surface models: accurate plant height measurement and biomass estimation with terrestrial laser scanning in paddy rice. Journal of Applied Remote Sensing 8, 083671-1-22.
33. Tilly N, Hoffmeister D, Cao Q, Lenz-Wiedemann V, Miao Y, Bareth G, 2015: Transferability of models for estimating paddy rice biomass from spatial plant height data. Agriculture 5, 538-560, doi:10.3390/agriculture5030538.
34. Vermeire LT, Gillen RL, 2001: Estimating herbage standing crop with visual obstruction in tallgrass prairie. Journal of Range Management 54, 57-60.
35. Wang K, Zhou H, Wang B, Jian Z, Wang F, Huang J, Nie L, Cui K, Peng S, 2013: Quantification of border effect on grain yield measurement of hybrid rice. Field Crops Research 141, 47-54.
36. Zehm A, Nobis M, Schwabe A, 2003: Multiparameter analysis of vertical vegetation structure based on digital image processing. Flora 198, 142-160.