[1] [1] Q. Zhang, "Strategies for developing Green Super Rice," Proc. Natl. Acad. Sci. 104(42), 16402–16409 (2007).

[2] [2] W. Xue, Y. Xing, X. Weng, Y. Zhao, W. Tang, L. Wang, H. Zhou, S. Yu, C. Xu, X. Li, Q. Zhang, "Natural variation in Ghd7 is an important regulator of heading date and yield potential in rice," Nat. Genet. 40(6), 761–767 (2008).

[3] [3] E. Wang, J. Wang, X. Zhu, W. Hao, L. Wang, Q. Li, L. Zhang,W. He, B. Lu, H. Lin, H. Ma, G. Zhang, Z. He, "Control of rice grain-filling and yield by a gene with a potential signature of domestication," Nat. Genet. 40(11), 1370–1374 (2008).

[4] [4] L. Duan, W. Yang, C. Huang, Q. Liu, "A novel machine-vision-based facility for the automatic evaluation of yield-related traits in rice," Plant Methods 7, 44 (2011).

[5] [5] F. F. Blanco, M. V. Folegatti, "Estimation of leaf area for greenhouse cucumber by linear measurements under salinity and grafting," Sci. Agric. 62(4), 305–309 (2005).

[6] [6] S. Teng, Q. Qian, D. Zeng, Y. Kunihiro, K. Fujimoto, D. Huang, L. Zhu, "QTL analysis of leaf photosynthetic rate and related physiological traits in rice (Oryza sativa L.)," Euphytica 135(1), 1–7 (2004).

[7] [7] T. Takai, S. Matsuura, T. Nishio, A. Ohsumi, T. Shiraiwa, T. Horie, "Rice yield potential is closely related to crop growth rate during late reproductive period," Field Crops Res. 96, 328–335 (2006).

[8] [8] I. Jonckheere, S. Fleck, K. Nackaerts, B. Muys, P. Coppin, M. Weiss, F. Baret, "Review of methods for in situ leaf area index determination Part I. Theories, sensors and hemispherical photography," Agric. For. Meteorol. 121, 19–35 (2004).

[9] [9] K. Beth, "Agri-photonics: Agriculture improves with photonics technologies," SPIE Professional 7, 14–17 (2009).

[10] [10] T. Brosnan, D. W. Sun, "Inspection and grading of agricultural and food products by computer vision system — a review," Comput. Electron. Agric. 36, 193–213 (2002).

[11] [11] S. Qi, S. Song, S. Jiang, Y. Chen, W. Li, D. Han, "Establishment of a comprehensive indicator to nondestructively analyze watermelon quality at different ripening stages," J. Innov. Opt. Health Sci. 6(4), 1350034 (2013).

[12] [12] E. J. V. Henten, J. Bontsema, "Non-destructive crop measurements by image processing for crop growth control," J. Agric. Eng. Res. 61(2), 97–105 (1995).

[13] [13] D. Leister, C. Varotto, P. Pesaresi, A. Niwergall, F. Salamini, "Large-scale evaluation of plant growth in Arabidopsis thaliana by non-invasive image analysis," PlantPhysiol.Biochem.37(9),671–678(1999).

[14] [14] O. Tackenberg, "A new method for non-destructive measurement of biomass, growth rates, vertical biomass distribution and dry matter content based on digital image analysis," Ann. Bot. 99, 777–783 (2007).

[15] [15] M. R. Golzarian, R. A. Frick, K. Rajendran, B. Berger, S. Roy, M. Tester, D. S. Lun, "Accurate inference of shoot biomass from high-throughput images of cereal plants," Plant Methods 7(2), 1–11 (2011).

[16] [16] B. Baker, D. M. Olszyk, D. Tingey, "Digital image analysis to estimate leaf area," J. Plant Physiol. 148, 530–535 (1996).

[17] [17] C. Leroy, L. Saint-Andre, D. Auclair, "Practical methods for non-destructive measurement of tree leaf area," Agroforestry Syst. 71, 99–108 (2007).

[18] [18] K. Rajendran, M. Tester, S. J. Roy, "Quantifying the three main components of salinity tolerance in cereals," Plant Cell Environ. 32(3), 237–249 (2009).

[19] [19] M. Marcon, K. Mariano, R. A. Braga, C. M. Paglis, M. S. Scalco, G. W. Horgan, "Estimation of total leaf area in perennial plants using image analysis," Revista Brasileira de Engenharia Agri{cola e Ambiental 15(1), 96–101 (2011).

[20] [20] K. A. Nagel, A. Putz, F. Gilmer, K. Heinz, A. Fischbach, J. Pfeifer, M. Faget, S. Blossfeld, M. Ernst, C. Dimaki, B. Kastenholz, A. Kleinert, A. Galinski, H. Scharr, F. Fiorani, U. Schurr, "GROWSCREEN-Rhizo is a novel phenotyping robot enabling simultaneous measurements of root and shoot growth for plants grown in soil-filled rhizotrons," Funct. Plant Biol. 39, 891–904 (2012).

[21] [21] G. A. Pereyra-Irujo, E. D. Gasco, L. S. Peirone, L. A. N. Aguirrezabal, "GlyPh: A low-cost platform for phenotyping plant growth and water use," Funct. Plant Biol. 39, 905–913 (2012).

[22] [22] W. Yang, X. Xu, L. Duan, Q. Luo, S. Chen, S. Zeng, Q. Liu, "High-throughput measurement of rice tillers using a conveyor equipped with X-ray computed tomography," Rev. Sci. Instrum. 82, 025102-1– 025102-7 (2011).

[23] [23] L. S. Caldas, C. Bravo, H. Piccilo, C. R. S. M. Faria, "Measurement of leaf area with a hand-scanner linked to a microcomputer," Revista Brasileira de Fisiologia Vegetal 4(1), 17–20 (1992).

[24] [24] G. E. Meyer, J. C. Neto, "Verification of color vegetation indices for automated crop imaging applications," Comput. Electron. Agric. 63, 282–293 (2008).