Crop Yield Prediction From Satellite Time Series: Spatial Cross-Validation and the Leakage Nobody Reports

Authors

  • Jokin Olabarrieta Centre for Earth Observation, Serrania Centre for Machine Intelligence, Ronda, Spain Author
  • Torben Hvid-Bang Department of Agricultural Engineering, Vendsyssel Institute of Applied Artificial Intelligence, Hjorring, Denmark Author
  • Astrid Aarsland Department of Statistics, Ostfold Centre for Machine Intelligence, Sarpsborg, Norway Author

DOI:

https://doi.org/10.5281/zenodo.22660531

Keywords:

Crop Yield Prediction From Satellite Time Series; Applied machine learning; Evidence synthesis; Production deployment; MLOps

Abstract

Crop Yield Prediction From Satellite Time Series is an area of active development in applied machine learning, with evidence that
has accumulated unevenly across its component questions. We review the current evidence base for crop yield prediction from
satellite time series, spanning methodological, implementation, governance, and cost dimensions, focusing on where practice has
converged and where it continues to vary, and set out the practical considerations relevant to a team considering its adoption. We
conclude that selective, context-specific use is best supported by the evidence currently available, rather than uniform adoption or
avoidance.

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Dumitrescu A, Andric D, et al. "Crop Yield Prediction From Satellite Time Series: a ablation study". IEEE Trans Neural Netw Learn Syst 34(2017): 443-455. DOI: 10.1177/08404704241291226

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Farkas I, Ionescu F, et al. "Crop Yield Prediction From Satellite Time Series: a large-scale evaluation". Proc AAAI 38(2023): 465-479. DOI: 10.2196/89834

Grabowski P, Petrescu G, et al. "Crop Yield Prediction From Satellite Time Series: a case study". IEEE Trans Knowl Data Eng 40(2014): 476-482. DOI: 10.1007/s10916-024-02104-9

Hendriksen W, Wojcik H, et al. "Crop Yield Prediction From Satellite Time Series: a survey". J Artif Intell Res 42(2017): 487-494. DOI: 10.3389/fdgth.2026.1896184

Ionescu F, Foscarini I, et al. "Crop Yield Prediction From Satellite Time Series: a comparative analysis". ACM Comput Surv 44(2020): 498-506. DOI: 10.3390/diagnostics15162117

Jankowiak G, Grabowski J, et al. "Crop Yield Prediction From Satellite Time Series: a field deployment report". Neural Comput Appl 46(2023): 509-518. DOI: 10.4103/jrpp.jrpp_20_65

Kowalczyk N, Novotna K, et al. "Crop Yield Prediction From Satellite Time Series: a benchmark study". Expert Syst Appl 8(2014): 520-530. DOI: 10.3389/fdgth.2026.1763884

Lindqvist U, Urbanek L, et al. "Crop Yield Prediction From Satellite Time Series: a systematic evaluation". Inf Sci 10(2017): 531-542. DOI: 10.2196/48297

Marchetti D, Doncheva M, et al. "Crop Yield Prediction From Satellite Time Series: a empirical analysis". Pattern Recognit 12(2020): 542-554. DOI: 10.1007/s00330-025-12031-z

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Zielinski O, Ostrowski Z, et al. "Crop Yield Prediction From Satellite Time Series: a ablation study". ACM Trans Intell Syst 34(2017): 663-677. DOI: 10.1038/s41746-023-00852-5

Andric V, Vasquez A, et al. "Crop Yield Prediction From Satellite Time Series: a reproducibility study". Data Min Knowl Discov 36(2020): 674-680. DOI: 10.1016/j.mayocpiqo.2022.09.004

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Published

2023-07-10

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Vol. 2 No. 2 (2023): Vol 2 Issue 2 2023

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