Preliminary growth chamber experiments using thermal infrared image to detect crop disease |
Jeong, Hoejeong
(Department of Applied Plant Science, Chonnam National University)
Jeong, Rae-Dong (Department of Applied Biology, Institute of Environmentally Friendly Agriculture, Chonnam National University) Ryu, Jae-Hyun (Department of Applied Plant Science, Chonnam National University) Oh, Dohyeok (Department of Applied Plant Science, Chonnam National University) Choi, Seonwoong (Department of Applied Plant Science, Chonnam National University) Cho, Jaeil (Department of Applied Plant Science, Chonnam National University) |
1 | Basnet, B., and J. Bang, 2018: The state-of-the-art of knowledge-intensive agriculture: a review on applied sensing systems and data analytics. Journal of Sensors 2018, 1-13. |
2 | Hwang, S. I., J. M. Joo, and S. Y. Joo, 2015: ICT-based smart farm factory systems through the case of hydroponic ginseng plant factory. The Journal of Korean Institute of Communications and Information Sciences 40(4), 780-790. (in Korean with English abstract) DOI |
3 | Idso, S. B., R. D. Jackson, P. J. Pinter Jr., R. J. Reginato, and J. L. Hatfield, 1981: Normalizing the stress degree-day for environmental variability. Agricultural Meteorology 24, 45-55. DOI |
4 | Iwanoff, L., 1928: Zur Methodik der Transpirationsbestimmungam Standort. Berichte der Deutschen Botanischen Gesellschaft 46, 306-310. |
5 | Jackson, R. D., 1986: Remote sensing of biotic and abiotic plant stress. Annual review of Phytopathology 24(1), 265-287. DOI |
6 | Jackson, R. D., S. B. Idso, R. J. Reginato, and P. J. Pinter Jr., 1981: Canopy temperature as a crop water stress indicator. Water Resources Research 17(4), 1133-1138. DOI |
7 | Jones, H. G., 1992: Plants and Microclimate (2nd ed.), Cambridge University Press, Cambridge, 428pp. |
8 | Jung, D.-H., H.-J. Kim, H. S. Kim, J. Choi, J. D. Kim, and S. H. Park, 2019: Fusion of spectroscopy and cobalt electrochemistry data for estimating phosphate concentration in hydroponic solution. Sensors 19(11), 2596. DOI |
9 | Leinonen, I., O. M. Grant, C. P. P. Tagliavia, M. M. Chaves, and H. G. Jones, 2006: Estimating stomatal conductance with thermal imagery. Plant, Cell & Environment 29(8), 1508-1518. DOI |
10 | Mahlein, A. K., 2016: Plant disease detection by imaging sensors-parallels and specific demands for precision agriculture and plant phenotyping. Plant disease 100(2), 241-251. DOI |
11 | Moller, M., V. Alchanatis, Y. Cohen, M. Meron, J. Tsipris, A. Naor, V. Ostrovsky, M. Sprintsin, and S. Cohen, 2006: Use of thermal and visible imagery for estimating crop water status of irrigated grapevine. Journal of experimental botany 58(4), 827-838. DOI |
12 | Prashar, A., and H. Jones, 2014: Infra-red thermography as a high-throughput tool for field phenotyping. Agronomy 4(3), 397-417. DOI |
13 | Walter, A., R. Finger, R. Huber, and N. Buchmann, 2017: Opinion: Smart farming is key to developing sustainable agriculture. Proceedings of the National Academy of Sciences 114(24), 6148-6150. |
14 | Wolfert, S., L. Ge, C. Verdouw, and M. J. Bogaardt, 2017: Big data in smart farming-a review. Agricultural Systems 153, 69-80. DOI |
15 | Yeo, U. H., I. B. Lee, K. S. Kwon, T. Ha, S. J. Park, R. W. Kim, and S. Y. Lee, 2016: Analysis of Research Trend and Core TechnologiesBased on ICT to Materialize Smart-farm. Protected Horticulture and Plant Factory 25(1), 30-41. (in Korean with English abstract) DOI |