The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
An approach to forecast grain crop yield using multi-layered, multi-farm data sets and machine learning
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Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
Overview of the radiometric and biophysical performance of the MODIS vegetation indices
Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., & Ferreira, L. G. (2002) · Remote Sensing of Environment · doi:10.1016/s0034-4257(02)00096-2 · Cited by 9,869
A concordance correlation coefficient to evaluate reproducibility.
Lin, L. I.-K. (1989) · Biometrics · doi:10.2307/2532051 · Cited by 8,785
The DSSAT cropping system model
Jones, J. W., Hoogenboom, G., Porter, C. H., Boote, K. J., Batchelor, W. D., Hunt, L. A., Wilkens, P. W., Singh, U., Gijsman, A. J., & Ritchie, J. T. (2003) · European Journal of Agronomy · doi:10.1016/s1161-0301(02)00107-7 · Cited by 4,465
McBratney, A. B., Mendonça Santos, M. L., & Minasny, B. (2003) · Geoderma · doi:10.1016/s0016-7061(03)00223-4 · Cited by 3,651
An overview of APSIM, a model designed for farming systems simulation
Keating, B. A., Carberry, P. S., Hammer, G. L., Probert, M. E., Robertson, M. J., Holzworth, D., Huth, N. I., Hargreaves, J. N. G., Meinke, H., Hochman, Z., et al. (2003) · European Journal of Agronomy · doi:10.1016/s1161-0301(02)00108-9 · Cited by 2,878
Torres, R., Snoeij, P., Geudtner, D., Bibby, D., Davidson, M., Attema, E., Potin, P., Rommen, B., Floury, N., Brown, M., et al. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.05.028 · Cited by 2,235
Growing degree-days: one equation, two interpretations
MCMASTER, G. (1997) · Agricultural and Forest Meteorology · doi:10.1016/s0168-1923(97)00027-0 · Cited by 1,622
MOD13Q1 MODIS/Terra Vegetation Indices 16-Day L3 Global 250m SIN Grid V006
Didan, K. (2015) · Earth Observing System Data and Information System · doi:10.5067/modis/mod13q1.006 · Cited by 547
In‐Season Prediction of Potential Grain Yield in Winter Wheat Using Canopy Reflectance
Raun, W. R., Solie, J. B., Johnson, G. V., Stone, M. L., Lukina, E. V., Thomason, W. E., & Schepers, J. S. (2001) · Agronomy Journal · doi:10.2134/agronj2001.931131x · Cited by 511
Cited by
Remote sensing for agricultural applications: A meta-review
Weiss, M., Jacob, F., & Duveiller, G. (2020) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.111402 · Cited by 1,877
Spatial+: A new cross-validation method to evaluate geospatial machine learning models
Wang, Y., Khodadadzadeh, M., & Zurita-Milla, R. (2023) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2023.103364 · Cited by 109
Metadata
- Authors
- Filippi, P., Jones, E. J., Wimalathunge, N. S., Somarathna, P. D. S. N., Pozza, L. E., Ugbaje, S. U., Jephcott, T. G., Paterson, S. E., Whelan, B. M., & Bishop, T. F. A.
- Venue
- Precision Agriculture
- Published
- 2019-01-08
- Volume
- 20
- Issue
- 5
- Pages
- 1015-1029
- ISSN
- 1385-2256 (ISSN-L)
- 1573-1618
- OpenAlex
- W2910729503
- Cited by
- 294
- References
- 18
- FWCI
- 15.33
- Type
- journal article
- Language
- en
- Open access
- closed
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- This page
- CoChat. (2026). Citation check: An approach to forecast grain crop yield using multi-layered, multi-farm data sets and machine learning. https://app.cochat.ai/papers/10.1007/s11119-018-09628-4
- The paper
- Filippi, P., Jones, E. J., Wimalathunge, N. S., Somarathna, P. D. S. N., Pozza, L. E., Ugbaje, S. U., Jephcott, T. G., Paterson, S. E., Whelan, B. M., & Bishop, T. F. A. (2019). An approach to forecast grain crop yield using multi-layered, multi-farm data sets and machine learning. Precision Agriculture. https://doi.org/10.1007/s11119-018-09628-4
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
