457
GEOGLAM. (2016). Crop monitor: A geoglam initiative. http://www.geoglam-crop-monitor.org/
pages/currentreport.php?id=201603&type=SY&interface=AMIS.
GNSS. (2011). GNSS systems reports.
Junger, M., Naddef, D., Pulleyblank, W. R., Rinaldi, G., Liebling, T. M., Nemhauser, G. L., Reinelt,
G., & Wolsey, L. A. (2010). 50 years of integer programming 1958–2008: From the early years to
the state-of-the-art. Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-540-68279-0.
McBratney, A., Whelan, B., Ancev, T., & Bouma, J. (2005). Future directions of precision agriculture. Precision Agriculture, 6(1), 7–23. https://doi.org/10.1007/s11119-005-0681-8.
Melo, M. T., Nickel, S., & Saldanha-da-Gama, F. (2009). Facility location and supply chain management – A review. European Journal of Operational Research, 196(2), 401–412. https://doi.
org/10.1016/j.ejor.2008.05.007.
Min, H., & Zhou, G. (2002). Supply chain modeling: Past, present and future. Computers and
Industrial Engineering, 43(1–2), 231–249. https://doi.org/10.1016/S0360-8352(02)00066-9.
Minnesota. (2016). Buffer law amendments. http://www.bwsr.state.mn.us/buffers.
Nelson, E., Mendoza, G., Regetz, J., Polasky, S., Tallis, H., Richard Cameron, D., Chan, K. M.
A., et al. (2009). Modeling multiple ecosystem services, biodiversity conservation, commodity
production, and tradeoffs at landscape scales. Frontiers in Ecology and the Environment, 7(1),
4–11. https://doi.org/10.1890/080023.
Oki, T., & Kanae, S. (2004). Virtual water trade and world water resources. Water Science and
Technology, 49(7), 203–209. http://www.waterfootprint.org/Reports/Report12.pdf.
Plant, R. E., Pettygrove, G. S., & Reinert, W. R. (2000). Precision agriculture can increase profits
and limit environmental impacts. California Agriculture, 54(4), 66–71. https://doi.org/10.3733/
ca.v054n04p66.
Press, The National Academies. (1997). Precision agriculture in the 21st century:
Geospatial
and
information
technologies
in
crop
management.
Washington, DC: The National Academies Press. %5Curl%7Bwww.nap.edu/
openbook.php?record_id=5491%7D%5Cnhttp://books.google.fr/books?hl=fr&lr=&id=
HHErAAAAYAAJ&oi=fnd&pg=PA1&dq=searcy(1994+)+engineering+systems+for+s
ite-specific+management&ots=F3EZlW- WZk&sig=8k3--9Yr9bqWlN82RwN7_CU63Ak.
Xie, Y., Yang, K., Shekhar, S., Dalzell, B., & Mulla, D. (2017). Spatially constrained geodesign
optimization (GOP) for improving agricultural watershed sustainability.
Further Reading
Cormen, T., C. Leiserson, R. Rivest, C. Stein. 2009. Introduction to algorithms, 3rd edn.
Contemporary Sociology, 25. https://doi.org/10.2307/2077150.
Denning, P. J. (2005). Is computer science science? Communications of the ACM, 48(4), 27.
https://doi.org/10.1145/1053291.1053309.
Gustafson, M. (2014). Big data and agriculture. Agri Marketing. https://doi.org/10.1002/ajh.23643.
McKinsey & Company. 2011. Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute. no. June. 156. https://doi.org/10.1080/01443610903114527.
Mitchell, T. M. (1997). Machine learning. New York: McGraw-Hill Education.
Ng, A. (2017). Machine learning yearning. http://www. mlyearning.org/(96).
Pang-Ning, T., M. Steinbach, and V. Kumar. 2006. Introduction to data mining. Library of
Congress. https://doi.org/10.1016/0022-4405(81)90007-8.
Ramakrishnan, R., & Gehrke, J. (2002). Database management systems (3rd ed.). New York:
McGraw-Hill.
Shekar, S., & Chawla, S. (2003). Spatial databases: A tour. spatial databases: A tour.
Upper Saddle River, NJ: Prentice Hall. https://doi.org/papers3://publication/uuid/
E626604D-1F38-4DCD-878A-C1E029178A87.
Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33. https://doi.
org/10.1145/1118178.1118215.
16 Computing
GEOGLAM. (2016). Crop monitor: A geoglam initiative. http://www.geoglam-crop-monitor.org/
pages/currentreport.php?id=201603&type=SY&interface=AMIS.
GNSS. (2011). GNSS systems reports.
Junger, M., Naddef, D., Pulleyblank, W. R., Rinaldi, G., Liebling, T. M., Nemhauser, G. L., Reinelt,
G., & Wolsey, L. A. (2010). 50 years of integer programming 1958–2008: From the early years to
the state-of-the-art. Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-540-68279-0.
McBratney, A., Whelan, B., Ancev, T., & Bouma, J. (2005). Future directions of precision agriculture. Precision Agriculture, 6(1), 7–23. https://doi.org/10.1007/s11119-005-0681-8.
Melo, M. T., Nickel, S., & Saldanha-da-Gama, F. (2009). Facility location and supply chain management – A review. European Journal of Operational Research, 196(2), 401–412. https://doi.
org/10.1016/j.ejor.2008.05.007.
Min, H., & Zhou, G. (2002). Supply chain modeling: Past, present and future. Computers and
Industrial Engineering, 43(1–2), 231–249. https://doi.org/10.1016/S0360-8352(02)00066-9.
Minnesota. (2016). Buffer law amendments. http://www.bwsr.state.mn.us/buffers.
Nelson, E., Mendoza, G., Regetz, J., Polasky, S., Tallis, H., Richard Cameron, D., Chan, K. M.
A., et al. (2009). Modeling multiple ecosystem services, biodiversity conservation, commodity
production, and tradeoffs at landscape scales. Frontiers in Ecology and the Environment, 7(1),
4–11. https://doi.org/10.1890/080023.
Oki, T., & Kanae, S. (2004). Virtual water trade and world water resources. Water Science and
Technology, 49(7), 203–209. http://www.waterfootprint.org/Reports/Report12.pdf.
Plant, R. E., Pettygrove, G. S., & Reinert, W. R. (2000). Precision agriculture can increase profits
and limit environmental impacts. California Agriculture, 54(4), 66–71. https://doi.org/10.3733/
ca.v054n04p66.
Press, The National Academies. (1997). Precision agriculture in the 21st century:
Geospatial
and
information
technologies
in
crop
management.
Washington, DC: The National Academies Press. %5Curl%7Bwww.nap.edu/
openbook.php?record_id=5491%7D%5Cnhttp://books.google.fr/books?hl=fr&lr=&id=
HHErAAAAYAAJ&oi=fnd&pg=PA1&dq=searcy(1994+)+engineering+systems+for+s
ite-specific+management&ots=F3EZlW- WZk&sig=8k3--9Yr9bqWlN82RwN7_CU63Ak.
Xie, Y., Yang, K., Shekhar, S., Dalzell, B., & Mulla, D. (2017). Spatially constrained geodesign
optimization (GOP) for improving agricultural watershed sustainability.
Further Reading
Cormen, T., C. Leiserson, R. Rivest, C. Stein. 2009. Introduction to algorithms, 3rd edn.
Contemporary Sociology, 25. https://doi.org/10.2307/2077150.
Denning, P. J. (2005). Is computer science science? Communications of the ACM, 48(4), 27.
https://doi.org/10.1145/1053291.1053309.
Gustafson, M. (2014). Big data and agriculture. Agri Marketing. https://doi.org/10.1002/ajh.23643.
McKinsey & Company. 2011. Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute. no. June. 156. https://doi.org/10.1080/01443610903114527.
Mitchell, T. M. (1997). Machine learning. New York: McGraw-Hill Education.
Ng, A. (2017). Machine learning yearning. http://www. mlyearning.org/(96).
Pang-Ning, T., M. Steinbach, and V. Kumar. 2006. Introduction to data mining. Library of
Congress. https://doi.org/10.1016/0022-4405(81)90007-8.
Ramakrishnan, R., & Gehrke, J. (2002). Database management systems (3rd ed.). New York:
McGraw-Hill.
Shekar, S., & Chawla, S. (2003). Spatial databases: A tour. spatial databases: A tour.
Upper Saddle River, NJ: Prentice Hall. https://doi.org/papers3://publication/uuid/
E626604D-1F38-4DCD-878A-C1E029178A87.
Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33. https://doi.
org/10.1145/1118178.1118215.
16 Computing