UAS imaging-based decision tools for arid winter wheat and irrigated potato production management

International Journal of Remote Sensing

Volumn 37, Issue 1, 2016, Pages 125-137

  Khot, Lav R ^a,b   Sankaran, Sindhuja ^b   Carter, Arron H ^b   Johnson, Dennis A ^b   Cummings, Thomas F ^b  

^a WASHINGTON STATE UNIVERSITY   (United States)

^b WASHINGTON STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTENNAS; CORRELATION METHODS; CROPS; CULTIVATION; FERTILIZERS; MANURES; UNMANNED AERIAL VEHICLES (UAV);

AGRICULTURAL PRODUCTIONS; HIGH SPATIAL RESOLUTION; IMAGING SENSORS; PEARSON CORRELATION COEFFICIENTS; PRODUCTION MANAGEMENT; RAPID ASSESSMENT; SINGLE NUCLEOTIDE POLYMORPHISMS; UNMANNED AERIAL SYSTEMS;

DECISION MAKING;

AGRICULTURAL APPLICATION; AGRICULTURAL MANAGEMENT; AIRBORNE SENSING; CROP PRODUCTION; DECISION SUPPORT SYSTEM; GREEN MANURING; IMAGE ANALYSIS; REMOTE SENSING; UNMANNED VEHICLE;

SOLANUM TUBEROSUM; TRITICUM AESTIVUM;

EID: 84953238092     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2015.1117685     Document Type: Article

References (25)

1. K.R.Baldwin, 2006. Crop Rotations on Organic Farms. North Carolina Cooperative Extension Service Publication AG-659W-05. Raleigh: Center for Environmental Farming Systems. North Carolina A&T State University.
2. J.J.Berni,, P.Zarco-Tejada, L.Suárez, and E.Fereres. 2009. “Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring from an Unmanned Aerial Vehicle.” IEEE Transactions on Geoscience and Remote Sensing 47 (3): 722–738. doi:10.1109/TGRS.2008.2010457.
3. S.Candiago,, F.Remondino, M.De Giglio, M.Dubbini, and M.Gattelli. 2015. “Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images.” Remote Sensing 7 (4): 4026–4047. doi:10.3390/rs70404026.
4. R.Ehsani,, and J.M.Maja. 2013. “The Rise of Small Uavs in Precision Agriculture.” ASABE Resource 20 (4): 18–19.
5. G.S.Giri,, and W.F.Schillinger. 2003. “Seed Priming Winter Wheat for Germination, Emergence, and Yield.” Crop Science 43 (6): 2135–2141. doi:10.2135/cropsci2003.2135.
6. A.A.Gitelson,, and M.N.Merzlyak. 1998. “Remote Sensing of Chlorophyll Concentration in Higher Plant Leaves.” Advances in Space Research 22 (5): 689–692. doi:10.1016/S0273-1177(97)01133-2.
7. D.Gómez-Candón,, A.I.De Castro, and F.López-Granados. 2014. “Assessing the Accuracy of Mosaics from Unmanned Aerial Vehicle (UAV) Imagery for Precision Agriculture Purposes in Wheat.” Precision Agriculture 15: 44–56. doi:10.1007/s11119-013-9335-4.
8. G.J.Grenzdörffer,, A.Engel, and B.Teichert. 2008. “The Photogrammetric Potential of Low-Cost Uavs in Forestry and Agriculture.” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXVII: 1207–1214.
9. E.Honkavaara,, J.Kaivosoja, J.Mäkynen, I.Pellikka, L.Pesonen, H.Saari, H.Salo, T.Hakala, L.Markelin, and T.Rosnell. 2012. “Hyperspectral Reflectance Signatures and Point Clouds for Precision Agriculture by Light Weight UAV Imaging System.” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 1-7: 353–358. doi:10.5194/isprsannals-I-7-353-2012.
10. B.G.Hopkins,, P.J.S.Hutchinson, P.Patterson, J.Miller, M.Thornton, S.Hafez, and J.Alvarez. 2004. “Cropping Sequence and Rotation: Impact on Potato Production and Soil Condition.” University of Idaho Extension Publication. Accessed 24April 2014. http://www.cals.uidaho.edu/potatoes/ResearchExtensionTopic.htm#cropping
11. E.A.Jague,, K.Goulding, G.Heckrath, A.Macdonald, P.Poulton, A.Stevens, B.Van Wesemael, and K.Van Oost. 2014. “High-Resolution Spatial Patterns of Soil Organic Carbon Content Derived from Low-Altitude Aerial Multi-Band Imagery on the Broadbalk Wheat Experiment at Rothamsted,UK.” Geophysical Research Abstracts 16: 12063–2.
12. D.A.Johnson,, and T.F.Cummings. 2015. “Effect of Extended Crop Rotations on Incidence of Black Dot, Silver Scurf, and Verticillium Wilt of Potato.” Plant Disease 99 (2): 257–262. doi:10.1094/PDIS-03-14-0271-RE.
13. S.Kipp,, B.Mistele, P.Baresel, and U.Schmidhalter. 2014. “High-Throughput Phenotyping Early Plant Vigour of Winter Wheat.” European Journal of Agronomy 52: 271–278. doi:10.1016/j.eja.2013.08.009.
14. G.P.Lafond,, and D.B.Fowler. 1989. “Soil Temperature and Water Content, Seeding Depth, and Simulated Rainfall Effects on Winter Wheat Emergence.” Agronomy Journal 81 (4): 609–614. doi:10.2134/agronj1989.00021962008100040012x.
15. R.P.Larkin, 2015. “Soil Health Paradigms and Implications for Disease Management.” Annual Review of Phytopathology 53: 199–221. doi:10.1146/annurev-phyto-080614-120357.
16. R.P.Larkin,, T.S.Griffin, and C.W.Honeycutt. 2010. “Rotation and Cover Crop Effects on Soilborne Potato Diseases, Tuber Yield, and Soil Microbial Communities.” Plant Diseases 94: 1491–1502. doi:10.1094/PDIS-03-10-0172.
17. J.Mäkynen,, H.Saari, C.Holmlund, R.Mannila, and T.Antila. 2012. “Multi- and Hyperspectral UAV Imaging System for Forest and Agriculture Applications.” Proceedings of SPIE 8374 (837409): 1–9.
18. K.C.M.A.McGwire,, J.A.Weltz, C.E.Finzel, L.F.Morris, Fenstermaker, and D.S.McGraw. 2013. “Multiscale Assessment of Green Leaf Cover in a Semi-Arid Rangeland with a Small Unmanned Aerial Vehicle.” International Journal of Remote Sensing 34 (5): 1615–1632. doi:10.1080/01431161.2012.723836.
19. Y.Oishi,, and T.Matsunaga. 2014. “Support System for Surveying Moving Wild Animals in the Snow Using Aerial Remote-Sensing Images.” International Journal of Remote Sensing 35 (4): 1374–1394. doi:10.1080/01431161.2013.876516.
20. H.Saari,, I.Pellikk, L.Pesonen, S.Tuominen, J.Heikkilä, C.Holmlund, J.Mäkynen, K.Ojala, and T.Antila. 2011. “Unmanned Aerial Vehicle (UAV) Operated Spectral Camera System for Forest and Agriculture Applications.” Proceedings of SPIE 8174: 81740H: 1-15.
21. S.Sankaran,, L.R.Khot, C.Z.Espinoza, S.Jarolmasjed, V.R.Sathuvalli, G.J.Vandemark, P.N.Miklas, A.H.Carter, M.O.Pumphrey, N.R.Knowles, and M.J.Pavek. 2015. “Low-Altitude, High-Resolution Aerial Imaging Systems for Row and Field Crop Phenotyping: A Review.” European Journal of Agronomy 70: 112–123. doi:10.1016/j.eja.2015.07.004.
22. th IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) 25-28June, Gainesville, FL.
23. C.A.Schneider,, W.S.Rasband, and K.W.Eliceiri. 2012. “NIH Image to Imagej: 25 Years of Image Analysis.” Nature Methods 9 (7): 671–675. doi:10.1038/nmeth.2089.
24. D.G.Sullivan,, J.P.Fulton, J.N.Shaw, and G.Bland. 2007. “Evaluating the Sensitivity of an Unmanned Thermal Infrared Aerial System to Detect Water Stress in a Cotton Canopy.” Transactions of the ASABE 50 (6): 1963–1969. doi:10.13031/2013.24091.
25. USDA NASS. 2014. “Wheat Data.” Accessed August8, 2014. http://www.ers.usda.gov/data-products/wheat-data.aspx