Identification of water stress in citrus leaves using sensing technologies

Agronomy

Volumn 3, Issue 4, 2013, Pages 747-756

  Johnson, Kaitlin ^a   Sankaran, Sindhuja ^b   Ehsani, Reza ^c  

^a Davis   (United States)

^b WASHINGTON STATE UNIVERSITY   (United States)

^c UNIVERSITY OF FLORIDA   (United States)

Author keywords

Citrus; Laser induced breakdown spectroscopy; Visible near infrared spectroscopy; Water stress

Indexed keywords

EID: 85026933519     PISSN: None     EISSN: 20734395     Source Type: Journal    
DOI: 10.3390/agronomy3040747     Document Type: Article

References (14)

1. Ballester, C.; Castel, J.; Intrigliolo, D.D.; Castel, J.R. Response of clementina de nules citrus trees to summer deficit irrigation yield components and fruit composition. Agric. Water Manag. 2011, 98, 1027–1032.
2. Radziemski, L.; Cremers, D. A brief history of laser-induced breakdown spectroscopy: From the concept of atoms to LIBS 2012. Spectrochim. Acta Part B 2013, 87, 3–10.
3. Trevizan, L.C.; Santos, D., Jr.; Samad, R.E.; Vieira, N.D., Jr.; Nomura, C.S.; Nunes, L.C.; Rufini, I.A.; Krug, F.J. Evaluation of laser induced spectroscopy for the determination of macronutrients in plant materials. Spectrochim. Acta Part B 2008, 63, 1151–1158.
4. Trevizan, L.C.; Santos, D., Jr.; Samad, R.E.; Nunes, L.C.; Rufini, I.A.; Krug, F.J. Evaluation of laser induced spectroscopy for the determination of micronutrients in plant materials. Spectrochim. Acta Part B 2009, 64, 369–377.
5. Kim, G.; Kwak, J.; Choi, J.; Park, K. Detection of nutrient elements and contamination by pesticides in spinach and rice samples using Laser-Induced Breakdown Spectroscopy (LIBS). J. Agric. Food Chem. 2012, 60, 718–724.
6. Yao, M.; Huang, L.; Zheng, J.; Fan, S.; Liu, M. Assessment of feasibility in determining of Cr in gannan navel orange treated in controlled conditions by Laser Induced Breakdown Spectroscopy. Opt. Laser Technol. 2013, 52, 70–74.
7. Chapin, F.S., III. Integrated response of plants to stress. Bioscience 1991, 41, 29–36.
8. Carter, G.A. Primary and secondary effects of water content on the spectral reflectance of leaves. Am. J. Bot. 1991, 78, 916–924.
9. Kriston-Vizi, J.; Umeda, M.; Miyamoto, K. Assessment of water status of mandarin and peach canopies using visible multispectral imagery. Precis. Agric. 2008, 100, 338–345.
10. Pinter, P.J., Jr.; Hatfield, J.L.; Schepers, J.S.; Barnes, E.M.; Moran, M.S.; Daughtry, C.S.T.; Upchurch, D.R. Remote sensing for crop management. Photogramm. Eng. Rem. Sens. 2003, 69, 647–664.
11. Ballester, C.; Castel, J.; Jimenez-Bello, M.A.; Castel, J.R.; Intrigliolo, D.S. Thermographic measurement of canopy temperature is a useful tool for predicting water deficit effects on fruit weight in citrus trees. Agric. Water Manag. 2013, 122, 1–6.
12. Garcia-Sanchez, F.; Syvertsen, J.P.; Gimeno, V.; Botia, P.; Perez-Perez, J.G. Responses to flooding and drought stress by two citrus rootstock seedlings with different water-use efficiency. Physiol. Plant. 2007, 130, 532–542.
13. Slaton, M.R.; Hunt, E.R., Jr.; Smith, W.K. Estimating near-infrared leaf reflectance from leaf structural characteristics. Am. J. Bot. 2001, 88, 278–284.
14. Usha, K.; Singh, B. Potential applications of remote sensing in horticulture. Sci. Hortic.-Amst. 2013, 153, 71–83.