Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences
Reference43 articles.
1. Adamchuk, V. I., Hummel, J. W., Morgan, M. T., & Upadhyaya, S. K. (2004). On-the-go soil sensonrs for precision agriculture. Computers and Electronics in Agriculture, 44, 71–91.
2. Anselin, L. (1995). Local indicators of spatial association-LISA. Geographical Analysis, 27, 93–115.
3. Beaudette, D. E., Roudier, P., & O’Geen, A. T. (2013). Algorithms for quantitative pedology: A toolkit for soil scientists. Retrieved April 28, 2017 from
http://r-forge.r-project.org/projects/aqp/
4. Cambardella, C. A., Moorman, T. B., Novak, J. M., Parkin, T. B., Karlen, K. L., Turco, R. F., et al. (1994). Field-scale variability of soil properties in central Iowa soils. Soil Science Society of America Journal, 58, 1501–1511.
5. Castle, M. H., Lubben, B. D., & Luck, J. D. (2016). Factors influencing the adoption of precision agriculture technologies by Nebraska producers. Lincoln, NE, USA: University of Nebraska-Lincoln Digital Commons.
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