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Roger A. Lawes
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2020 – today
- 2024
- [i1]Foivos I. Diakogiannis, Zheng-Shu Zhou, Jeff Wang, Gonzalo Mata, Dave Henry, Roger A. Lawes, Amy Parker, Peter Caccetta, Rodrigo Ibata, Ondrej Hlinka, Jonathan Richetti, Kathryn Batchelor, Chris Herrmann, Andrew Toovey, John Taylor:
Tackling fluffy clouds: field boundaries detection using time series of S2 and/or S1 imagery. CoRR abs/2409.13568 (2024) - 2023
- [j6]Jonathan Richetti
, Foivos I. Diakogiannis
A methods guideline for deep learning for tabular data in agriculture with a case study to forecast cereal yield. Comput. Electron. Agric. 205: 107642 (2023) - [j5]Michael J. Wellington
A framework for modelling spatio-temporal trends in crop production using generalised additive models. Comput. Electron. Agric. 212: 108111 (2023) - [j4]Grazieli Rodigheri
Estimating Crop Sowing and Harvesting Dates Using Satellite Vegetation Index: A Comparative Analysis. Remote. Sens. 15(22): 5366 (2023) - 2022
- [j3]Michael J. Wellington
Modelling Within-Season Variation in Light Use Efficiency Enhances Productivity Estimates for Cropland. Remote. Sens. 14(6): 1495 (2022) - 2020
- [j2]Yang Chen
To Blend or Not to Blend? A Framework for Nationwide Landsat-MODIS Data Selection for Crop Yield Prediction. Remote. Sens. 12(10): 1653 (2020)
2010 – 2019
- 2016
- [j1]Andrew F. Zull
A crowding-dependent population model for woody weeds - Where size does matter. Environ. Model. Softw. 76: 108-116 (2016)
Coauthor Index
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