Early detection of wheat disease based on thermal infrared imaging

Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Volumn 30, Issue 18, 2014, Pages 183-189

  Li, Xiaolong ^a   Wang, Ku ^a   Ma, Zhanhong ^a   Wang, Haiguang ^a  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

Author keywords

Diseases; Early detection; Image processing; Incubation period; Stripe rust; Temperature; Thermal infrared imaging; Wheat

Indexed keywords

DISEASE CONTROL; DISEASES; IMAGE ANALYSIS; IMAGE PROCESSING; INFRARED RADIATION; TEMPERATURE; THERMOGRAPHY (IMAGING);

ARTIFICIAL CLIMATE CHAMBER; INCUBATION PERIODS; MAXIMUM TEMPERATURE DIFFERENCES; PUCCINIA STRIIFORMIS F. SP. TRITICI; STRIPE RUST; TEMPERATURE DIFFERENCES; THERMAL INFRARED IMAGING; WHEAT;

PLANTS (BOTANY);

EID: 84908114094     PISSN: 10026819     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.1002-6819.2014.18.023     Document Type: Article

References (28)

1. Line R F. Stripe rust of wheat and barley in North America: a retrospective historical review[J]. Annual Review of Phytopathology, 2002, 40: 75-118.
2. Chen Xianming. Epidemiology and control of stripe rust [Puccinia striiformis f. sp. tritici] on wheat[J]. Canadian Journal of Plant Pathology, 2005, 27(3): 314-337.
3. Wan Anmin, Chen Xianming, He Zhonghu. Wheat stripe rust in China[J]. Australian Journal of Agricultural Research, 2007, 58(6): 605-619.
4. Chen Wanquan, Kang Zhensheng, Ma Zhanhong, et al. Integrated management of wheat stripe rust caused by Puccinia striiformis f. sp. tritici in China[J]. Scientia Agricultura Sinica, 2013, 46(20): 4254-4262. (in Chinese with English abstract)
5. Cao Lihua, Xu Shichang, Lin Ruiming, et al. Early molecular diagnosis and detection of Puccinia striiformis f. sp. tritici in China[J]. Applied Microbiology, 2008, 46(5): 501-506.
6. Wang Xiaojie, Zheng Wenming, Heinrich B, et al. The development of a PCR-based method for detecting Puccinia striiformis latent infections in wheat leaves [J]. European Journal of Plant Pathology, 2008, 120(3): 241-247.
7. Wang Xiaojie, Tang Chunlei, Chen Jinlong, et al. Detection of Puccinia striiformis in latently infected wheat leaves by nested polymerase chain reaction [J]. Journal of Phytopathology, 2009, 157(7/8): 490-493.
8. Cai Chengjing, Wang Haiguang, An Hu, et al. Remote sensing research on monitoring technology of wheat stripe rust [J]. Jour of Northwest Sci-Tech Univ of Agri and For: Nat Sci Ed, 2005, 33(Suppl.): 31-36. (in Chinese with English abstract)
9. Jiang Jinbao, Chen Yunhao, Huang Wenjiang. Using hyperspectral derivative index to monitor winter wheat disease[J]. Spectroscopy and Spectral Analysis, 2007, 27(12): 2475-2479. (in Chinese with English abstract)
10. Smith R C G, Heritage A D, Stapper M, et al. Effect of stripe rust (Puccinia striiformis West.) and irrigation on the yield and foliage temperature of wheat[J]. Field Crops Research, 1986, 14(1): 39-51.
11. Li Yueren, Shang Hongsheng. Effect of stripe rust infection on photosynthesis and transpiration of wheat[J]. Journal of Triticeae Crops, 2001, 21(2): 51-56. (in Chinese with English abstract)
12. Zhao Hong, Wang Runyuan, Ma Pengli, et al. Effect of stripe rust infection on photosynthesis and transpiration of wheat in the semi-arid region[J]. Arid Meteorology, 2004, 22(4): 56-59. (in Chinese with English abstract)
13. Inoue Y, Kimball B A, Jackson R D, et al. Remote estimation of leaf transpiration rate and stomatal resistance based on infrared thermometry[J]. Agricultural and Forest Meteorology, 1990, 51(1): 21-33.
14. Lindenthal M, Steiner U, Dehne H W, et al. Effect of downy mildew development on transpiration of cucumber leaves visualized by digital infrared thermography[J]. Phytopathology, 2005, 95(3): 233-240.
15. Wang Min, Ling Ning, Dong Xian, et al. Thermographic visualization of leaf response in cucumber plants infected with the soil-borne pathogen Fusarium oxysporum f. sp. cucumerinum[J]. Plant Physiology and Biochemistry, 2012, 61: 153-161.
16. Xu Huirong, Ying Yibin. Application of infrared thermal imaging in identification of citrus on trees[J]. J Infrared Millim Waves, 2004, 23(5): 353-356. (in Chinese with English abstract)
17. Jones H G. Use of thermography for quantitative studies of spatial and temporal variation of stomatal conductance over leaf surfaces[J]. Plant Cell and Environment, 1999, 22(9): 1043-1055.
18. Omasa K, Takayama K. Simultaneous measurement of stomatal conductance, non-photochemical quenching, and photochemical yield of photosystem II in intact leaves by thermal and chlorophyll fluorescence imaging[J]. Plant [185] and Cell Physiology, 2003, 44(12): 1290-1300.
19. Prytz G, Futsaether C M, Johnsson A. Thermography studies of the spatial and temporal variability in stomatal conductance of Avena leaves during stable and oscillatory transpiration[J]. New Phytologist, 2003, 158(2): 259-258.
20. Wang Fei, Haruhiko Yamamoto. Detecting leaf and twig temperature of some trees by using thermography[J]. Spectroscopy and Spectral Analysis, 2010, 30(11): 2914-2918. (in Chinese with English abstract)
21. McDonald K L, Cahill D M. Evidence for a transmissible factor that causes rapid stomatal closure in soybean at sites adjacent to and remote from hypersensitive cell death induced by Phytophthora sojae[J]. Physiological and Molecular Plant Pathology, 1999, 55(3): 197-203.
22. Chaerle L, Caeneghem W V, Messens E, et al. Presymptomatic visualization of plant-virus interactions by thermography[J]. Nature Biotechnology, 1999, 17(8): 813-816.
23. Chaerle L, Hagenbeek D, De Bruyne E, et al. Thermal and chlorophyll-fluorescence imaging distinguish plant-pathogen interactions at an early stage[J]. Plant and Cell Physiology, 2004, 45(7): 887-896.
24. Stoll M, Schultz H R, Baecker G, et al. Early pathogen detection under different water status and the assessment of spray application in vineyards through the use of thermal imagery[J]. Precision Agriculture, 2008, 9(6): 407-417.
25. Oerke E C, Fröhling P, Steiner U. Thermographic assessment of scab disease on apple leaves[J]. Precision Agriculture, 2011, 12(5): 699-715.
26. Belin É, Rousseau D, Boureau T, et al. Thermography versus chlorophyll fluorescence imaging for detection and quantification of apple scab[J]. Computers and Electronics in Agriculture, 2013, 90: 159-163.
27. Xu Xiaolong, Jiang Huanyu, Hang Yuelan. Study on detection of tomato mosaic disease at early stage based on infrared thermal imaging[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2012, 28(5): 145-149. (in Chinese with English abstract)
28. Oerke E C, Steiner U, Dehne H W, et al. Thermal imaging of cucumber leaves affected by downy mildew and environmental conditions[J]. Journal of Experimental Botany, 2006, 57(9): 2121-2132.