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2020
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 -
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 -
2019
Improving yield mapping accuracy using remote sensing
Gonçalves Trevisan, R., Shiratsuchi, L. S., Bullock, D. S. & Martin, N. F., 2019, Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. Stafford, J. V. (ed.). Wageningen Academic Publishers, p. 901-908 8 p. (Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Site-specific treatment responses in on-farm precision experimentation
Trevisan, R. G., Bullock, D. S. & Martin, N. F., Jan 1 2019, Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. Stafford, J. V. (ed.). Wageningen Academic Publishers, p. 925-931 7 p. (Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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2020
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 -
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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2019
The data-intensive farm management project: Changing agronomic research through on-farm precision experimentation
Bullock, D. S., Boerngen, M., Tao, H., Maxwell, B., Luck, J. D., Shiratsuchi, L., Puntel, L. & Martin, N. F., Nov 1 2019, In: Agronomy Journal. 111, 6, p. 2736-2746 11 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Experimental designs and estimation methods for on-farm research: A simulation study of corn yields at field scale
Alesso, C. A., Cipriotti, P. A., Bollero, G. A. & Martin, N. F., Nov 1 2019, In: Agronomy Journal. 111, 6, p. 2724-2735 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
2020
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 -
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 1 2020, In: Remote Sensing. 12, 21, p. 1-19 19 p., 3617.Research output: Contribution to journal › Article › peer-review
Open Access