3.4 Conclusion
The past decades has witnessed a tremendous growth of GIS application in agriculture. These applications have benefited various GIS user and agricultural communities, as more and more advanced tools promote further connection of GIS with other
computer and related technologies. In the near future, the growth of customized
service provided for the site-specific farming will promote further development of
GIS. This service will be provided to the farmers and policy makers to increase the
farming profitability and reduce the environment impact. The advanced GIS technologies provide not only innovative knowledge in soil/crop and model/database
research but also real-time data/information for decision-making and management.
Future research is needed to improve our understanding of these aspects to synthesize the understanding of the study ranging from site-specific farming systems to
global food production and security issues.
References
Anderson, M. C., Kustas, W. P., Norman, J. M., Hain, C. R., Mecikalski, J. R., Schultz, L., et al.
(2011). Mapping daily evapotranspiration at field to continental scales using geostationary and
polar orbiting satellite imagery. Hydrological Earth System Science, 15, 223–239.
Batjes, N. H. (1995). A homogenized soil data file for global environmental research: A subset of
FAO, ISRIC and NRCS profiles (Working paper and preprint). Wageningen: ISRIC.
Bellotti, A. C., Smith, L., & Lapointe, S. L. (1999). Recent advances in Cassava pest management.
Annual Review of Entomology, 44, 343–370.
Bishr, Y. (1998). Overcoming the sematic and other barriers to GIS interoperability. International
Journal of Geographical Information Science, 12(4), 299–314.
Boryan, C., Yang, Z., Mueller, R., & Craig, C. (2011). Monitoring US agriculture: The US
department of agriculture, national agricultural statistics service, cropland data layer program.
Geocarto International, 1, 1–18.
Carbone, G. J., Narumalani, S., & King, M. (1996). Application of remote sensing and GIS
technologies with physiological crop models. Photogrammetric Engineering and Remote Sensing, 62, 171–179.
Carter, J. R. (1989). On defining the geographic information system. In W. J. Ripple (Ed.),
Fundamentals of Geographic Information Systems: a compendium. Fall Church Virginia:
ASPRS/ACSM.
Chau, V. N., Holland, J., Cassells, S., & Tuohy, M. (2013). Using GIS to map impacts upon
agriculture from extreme floods in Vietname. Applied Geography, 41, 65–74.
Corbett, J. D., & Carter, S. E. (1996). Using GIS to enhance agricultural planning: the example of
inter-seasonal rainfall variability in Zimbabew. Transactions in GIS, 1, 207–218.
CSISS (Center for Spatial Information Science and Systems). (2009). Cropscape. Available at:
https://nassgeodata.gmu.edu/CropScape/.
Del Grosso, S. J., Parton, W. J., Mosier, A. R., Hartman, M. D., Brenner, J., Ojima, D. S., &
Schimel, D. S. (2001). Simulated interaction of carbon dynamics and nitrogen trace gas fluxes
using the DAYCENT model. In M. Schaffer et al. (Eds.), Modeling carbon and nitrogen
dynamics for soil management (pp. 303–332). Boca Raton: CRC Press.
Devine, H. A., & Field, R. C. (1986). The gist of GIS. Journal of Forestry, 16, 17–22.
3 GIS Fundamentals for Agriculture
35
The past decades has witnessed a tremendous growth of GIS application in agriculture. These applications have benefited various GIS user and agricultural communities, as more and more advanced tools promote further connection of GIS with other
computer and related technologies. In the near future, the growth of customized
service provided for the site-specific farming will promote further development of
GIS. This service will be provided to the farmers and policy makers to increase the
farming profitability and reduce the environment impact. The advanced GIS technologies provide not only innovative knowledge in soil/crop and model/database
research but also real-time data/information for decision-making and management.
Future research is needed to improve our understanding of these aspects to synthesize the understanding of the study ranging from site-specific farming systems to
global food production and security issues.
References
Anderson, M. C., Kustas, W. P., Norman, J. M., Hain, C. R., Mecikalski, J. R., Schultz, L., et al.
(2011). Mapping daily evapotranspiration at field to continental scales using geostationary and
polar orbiting satellite imagery. Hydrological Earth System Science, 15, 223–239.
Batjes, N. H. (1995). A homogenized soil data file for global environmental research: A subset of
FAO, ISRIC and NRCS profiles (Working paper and preprint). Wageningen: ISRIC.
Bellotti, A. C., Smith, L., & Lapointe, S. L. (1999). Recent advances in Cassava pest management.
Annual Review of Entomology, 44, 343–370.
Bishr, Y. (1998). Overcoming the sematic and other barriers to GIS interoperability. International
Journal of Geographical Information Science, 12(4), 299–314.
Boryan, C., Yang, Z., Mueller, R., & Craig, C. (2011). Monitoring US agriculture: The US
department of agriculture, national agricultural statistics service, cropland data layer program.
Geocarto International, 1, 1–18.
Carbone, G. J., Narumalani, S., & King, M. (1996). Application of remote sensing and GIS
technologies with physiological crop models. Photogrammetric Engineering and Remote Sensing, 62, 171–179.
Carter, J. R. (1989). On defining the geographic information system. In W. J. Ripple (Ed.),
Fundamentals of Geographic Information Systems: a compendium. Fall Church Virginia:
ASPRS/ACSM.
Chau, V. N., Holland, J., Cassells, S., & Tuohy, M. (2013). Using GIS to map impacts upon
agriculture from extreme floods in Vietname. Applied Geography, 41, 65–74.
Corbett, J. D., & Carter, S. E. (1996). Using GIS to enhance agricultural planning: the example of
inter-seasonal rainfall variability in Zimbabew. Transactions in GIS, 1, 207–218.
CSISS (Center for Spatial Information Science and Systems). (2009). Cropscape. Available at:
https://nassgeodata.gmu.edu/CropScape/.
Del Grosso, S. J., Parton, W. J., Mosier, A. R., Hartman, M. D., Brenner, J., Ojima, D. S., &
Schimel, D. S. (2001). Simulated interaction of carbon dynamics and nitrogen trace gas fluxes
using the DAYCENT model. In M. Schaffer et al. (Eds.), Modeling carbon and nitrogen
dynamics for soil management (pp. 303–332). Boca Raton: CRC Press.
Devine, H. A., & Field, R. C. (1986). The gist of GIS. Journal of Forestry, 16, 17–22.
3 GIS Fundamentals for Agriculture
35