Economical thermal-RGB imaging system for monitoring agricultural crops

Computers and Electronics in Agriculture

Volumn 147, Issue , 2018, Pages 34-43

  Osroosh, Yasin ^a   Khot, Lav R ^a   Peters, R Troy ^a  

^a WASHINGTON STATE UNIVERSITY   (United States)

Author keywords

Center pivot; Crop water status; Image processing algorithm; Irrigated crops; Thermal RGB imaging

Indexed keywords

AGRICULTURE; ATMOSPHERIC TEMPERATURE; COMPUTER OPERATING SYSTEMS; CROPS; CULTIVATION; DATA TRANSFER; IMAGE PROCESSING; INFRARED IMAGING; MONITORING; PLANTS (BOTANY); SURFACE PROPERTIES;

CENTER PIVOT; IMAGE PROCESSING ALGORITHM; IRRIGATED CROPS; RGB IMAGING; WATER STATUS;

COLOR IMAGE PROCESSING;

ALGORITHM; COMPUTER; CROP PLANT; DATA SET; EQUIPMENT; EVAPOTRANSPIRATION; GROWING SEASON; IMAGE PROCESSING; IMAGING METHOD; LABORATORY METHOD; MONITORING SYSTEM; TEMPERATURE EFFECT;

MENTHA;

EID: 85042115726     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2018.02.018     Document Type: Article

References (34)

1. Abreu, V.M., Pereira, L.S. (2002). Sprinkler irrigation systems design using ISAMim. ASABE, Paper No. 022254, St. Joseph, MI.
2. Berni, J.A.J., Zarco-Tejada, P.J., Sepulcre-Canto, G., Fereres, E., Villalobos, F., Mapping canopy conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery. Remote Sens. Environ. 113 (2009), 2380–2388.
3. Blonquist, J.M., Norman, J.M., Bugbee, B., Automated measurement of canopy stomatal conductance based on infrared temperature. Agr. Forest. Meteorol. 149 (2009), 1931–1945.
4. Coates, R.W., Delwiche, M.J., Broad, A., Holler, M., Wireless sensor network with irrigation valve control. Comput. Electron. Agr. 96 (2013), 13–22.
5. Cohen, Y., Alchanatis, V., Meron, M., Saranga, Y., Tsipris, J., Estimation of leaf water potential by thermal imagery and spatial analysis. J. Exp. Bot. 56:417 (2005), 1843–1852.
6. Cohen, Y., Alchanatis, V., Prigojin, A., Levi, A., Cohen, Y., Use of aerial thermal imaging to estimate water status of plam trees. Precision Agric. 13:1 (2012), 123–140.
7. Colaizzi, P.D., O'Shaughnessy, S.A., Evett, S.R., Mounce, R.B., Crop evapotranspiration calculation using infrared thermometers aboard center pivots. Agr. Water Manage. 187 (2017), 173–189.
8. Dhillon, R., Udompetaikul, V., Rojo, F., Roach, J., Upadhyaya, S., Slaughter, D., Lampinen, B., Shackel, K., 2012. Detection of Plant Water Stress Using Leaf Temperature Measurements for Vineyard and Nut Crops. Transactions of the ASABE. Available online at: < https://elibrary.asabe.org/azdez.asp?JID=5&AID=42634&CID=dall2012&T=1>.
9. Dhillon, R.S., F. Rojo, J. Roach, S. Upadhyaya. 2014a. Handheld sensor suite for plant water status measurements and a comparison of different techniques to measure canopy temperature in orchard crops. ASABE paper 141893976. ASABE St. Joseph, MI 49085.
10. Dhillon, R., Rojo, F., Roach, J., Upadhyaya, S., Delwiche, M., A continuous leaf monitoring system for precision irrigation management in orchard crops. J. Agr. Machinery Sci. 10:4 (2014), 267–272.
11. Hess, T., A microcomputer scheduling program for supplementary irrigation. Comput. Electron. Agr. 15 (1996), 233–243.
12. Jackson, R.D., Idso, S.B., Reginato, R.J., Canopy temperature as a crop water stress indicator. Water Resour. Res. 17 (1981), 1133–1138.
13. Jones, H.G., Use of infrared thermometry for estimation of stomatal conductance as a possible aid to irrigation scheduling. Agric. For. Meteorol. 95 (1999), 139–149.
14. Khanal, S., Fulton, J., Shearer, S., An overview of current and potential applications of thermal remote sensing in precision agriculture. Comput. Electron. Agr. 139 (2017), 22–32.
15. Kim, Y., Evans, R.G., Software design for wireless sensor-based site-specific irrigation. Comput. Electron. Agr. 66 (2009), 159–165.
16. Möller, M., Alchanatis, V., Cohen, Y., Meron, M., Tsipris, J., Naor, A., Ostrovsky, V., Sprintsin, M., Cohen, S., Use of thermal and visible imagery for estimating crop water status of irrigated grapevine. J. Exp. Bot. 58 (2007), 827–838.
17. O'Shaughnessy, S.A., Hebel, M.A., Evett, S.R., Colaizzi, Evaluation of a wireless infrared thermometer with a narrow field of view. Comput. Electron. Agr. 76 (2011), 59–68.
18. O'Shaughnessy, S.A., Evett, S.R., Colaizzi, P.D., Howell, T.A., A crop water stress index and time threshold for automatic irrigation scheduling of grain sorghum. Agr. Water Manage. 107 (2012), 122–132.
19. O'Shaughnessy, S.A., Evett, S.R., Colaizzi, P.D., Howell, T.A., Wireless sensor network effectively controls center pivot irrigation of sorghum. Appl. Eng. Agric. 29:6 (2013), 853–864.
20. O'Shaughnessy, S.A., Evett, S.R., Colaizzi, P.D., Dynamic prescription maps for site-specific variable rate irrigation of cotton. Agr. Water Manage. 159 (2015), 123–138.
21. O'Shaughnessy, S.A., Andrade, M.A., Evett, S.R., Using an Integrated Crop Water Stress Index for Irrigation Scheduling of Two Corn Hybrids in a Semi-Arid Region. 2017, Sci, Irrig 10.1007/s00271-017-0552-x.
22. Ojha, T., Misra, S., Raghuwanshi, N.S., Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges. Comput. Electron. Agr. 118 (2015), 66–84.
23. Osroosh, Y., Peters, R.T., Campbell, C.S., Estimating Actual transpiration of apple trees based on infrared thermometry. J. Irrig. Drain. Eng., 2014, 10.1061/(ASCE)IR.1943-4774.0000860, 04014084.
24. Osroosh, Y., Peters, R.T., Campbell, C.S., Estimating potential transpiration of apple trees using theoretical non-water-stressed baselines. J. Irrig. Drain. Eng., 2015, 10.1061/(ASCE)IR.1943-4774.0000877, 04015009.
25. Osroosh, Y., Peters, R.T., Campbell, C., Zhang, Q., Automatic irrigation scheduling of apple trees using theoretical crop water stress index with an innovative dynamic threshold. Comput. Electron. Agric. 118 (2015), 193–203.
26. Osroosh, Y., Peters, R.T., Campbell, C., Daylight crop water stress index for continuous monitoring of water status in apple trees. Irrig. Sci. 34:3 (2016), 209–219.
27. Osroosh, Y., Peters, R.T., Campbell, C., Zhang, Q., Comparison of irrigation automation algorithms for drip-irrigated apple trees. Comput. Electron. Agr. 128 (2016), 87–99.
28. Pereira, L.S., Allen, R.G., Smith, M., Raes, D., Crop evapotranspiration estimation with FAO56: Past and future. Agr. Water Manage. 147 (2015), 4–20.
29. Pou, A., Diagoa, M.P., Medranob, H., Balujaa, J., Tardaguila, J., Validation of thermal indices for water status identification in grapevine. Agr. Water Manage. 134 (2014), 60–72.
30. Stone, K.C., Smajstrla, A.G., Zazueta, F.S., Microcomputer-based data acquisition system for continuous soil water potential measurements. Soil Crop Sci. Soc. Fla. Proc. 44 (1985), 49–53.
31. Testi, L., Goldhamer, D.A., Iniesta, F., Salinas, M., Crop water stress index is a sensitive water stress indicator in pistachio trees. Irrig. Sci. 26 (2008), 395–405.
32. Udompetaikul, V., Upadhyaya, S.K., Slaughter, D., Lampinen, B., Shackel, K., 2011. Plant Water Stress Detection Using Leaf Temperature and Microclimatic Information. ASABE Meeting Presentation, p. 1111555. Available online at: < http://elibrary.asabe.org/abstract.asp?aid=39304&t=1&redir=aid=39304&redir=[confid=loui2011]&redirType=techpapers.asp&redirType=techpapers.asp>.
33. van Brummelen, G.R., 2013. Heavenly Mathematics: The Forgotten Art of Spherical Trigonometry. Princeton University Press. ISBN 9780691148922. 0691148929. Retrieved 2015-11-10.
34. Wanjura, D.F., Kelly, C.A., Wendt, C.W., Hatfield, J.L., Canopy temperature and water-stress of cotton crops with complete and partial ground cover. Irrig. Sci. 5 (1984), 37–46.