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2020
High-Throughput Phenotyping of Soybean Maturity Using Time Series UAV Imagery and Convolutional Neural Networks
Trevisan, R., Pérez, O., Schmitz, N., Diers, B. & Martin, N., Nov 4 2020, In: Remote Sensing. 12, 21, 3617.Research output: Contribution to journal › Article › peer-review
Open Access -
Multi-stream CNN for spatial resource allocation: A crop management application
Barbosa, A., Marinho, T., Martin, N. F. & Hovakimyan, N., Jun 2020, Proceedings - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020. IEEE Computer Society, p. 258-266 9 p. 9150710. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2020-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Risk-averse optimization of crop inputs using a deep ensemble of convolutional neural networks
Barbosa, A., Hovakimyan, N. & Martin, N. F., Nov 2020, In: Computers and Electronics in Agriculture. 178, 105785.Research output: Contribution to journal › Article › peer-review
Open Access -
On to the next chapter for crop breeding: Convergence with data science
Ersoz, E. S., Martin, N. F. & Stapleton, A. E., Mar 1 2020, In: Crop Science. 60, 2, p. 639-655 17 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Spatial variability of crop responses to agronomic inputs in on-farm precision experimentation
Trevisan, R. G., Bullock, D. S. & Martin, N. F., 2020, (Accepted/In press) In: Precision Agriculture.Research output: Contribution to journal › Article › peer-review
Open Access -
Modeling yield response to crop management using convolutional neural networks
Barbosa, A., Trevisan, R., Hovakimyan, N. & Martin, N. F., Mar 2020, In: Computers and Electronics in Agriculture. 170, 105197.Research output: Contribution to journal › Article › peer-review
Open Access