Remotely Piloted Aircraft Systems (RPAS) and machine learning: a review in the context of forest science.

Eugenio, F. C., Badin, T. L., Fernandes, P., Mallmann, C. L., Schons, C., Schuh, M. S., Pereira, R. S., Fantinel, R. A., Silva, S. D. P. da, (2021). International Journal of Remote Sensing 42(21), 8207-8235. Taylor & Francis, Abingdon, UK. English language

Interpretable machine learning applied to on-farm biosecurity and porcine reproductive and respiratory syndrome virus.

Sykes, A. L., Silva, G. S., Holtkamp, D. J., Mauch, B. W., Osemeke, O., Linhares, D. C. L., Machado, G., (2021). Transboundary and Emerging Diseases 69(4), e916-e930. Wiley, Berlin, Germany. English language

Feral horse cause-specific mortality relative to mustering (gathering) and individual demographic attributes in the USA.

Scasta, J. D., Hennig, J. D., Calkins, C. M., (2021). Wildlife Research 48(8), 673-689. CSIRO, Collingwood, Australia. English language

Maxent modeling the current and future distribution of the invasive pest, the fall armyworm (Spodoptera frugiperda) (Lepidoptera: Noctuidae), under changing climatic conditions in China.

Cai, P. M., Meng, F. H., Song, Y. Z., Ma, C. H., Peng, Y. W., Lei, S. Y., Hong, Y. C., Huo, D., Li, L., (2021). Applied Ecology and Environmental Research 19(6), 4527-4546. ALÖKI Applied Ecological Research and Forensic Institute Ltd., Budapest, Hungary. English language

Potentials and limitations of worldview-3 data for the detection of invasive Lupinus polyphyllus Lindl. in semi-natural grasslands.

Schulze-Brüninghoff, D., Wachendorf, M., Astor, T., (2021). Remote Sensing 13(21) MDPI AG, Basel, Switzerland. English language

Detecting the attack of the fall armyworm (Spodoptera frugiperda) in cotton plants with machine learning and spectral measurements.

Ramos, A. P. M., Gomes, F. D. G., Pinheiro, M. M. F., Furuya, D. E. G., Gonçalvez, W. N., Junior, J. M., Michereff, M. F. F., Blassioli-Moraes, M. C., Borges, M., Alaumann, R. A., Liesenberg, V., Castro Jorge, L. A. de, Osco, L. P., (2021). Precision Agriculture 23(2), 470-491. Springer, New York, USA. English language

Modeling CRISPR gene drives for suppression of invasive rodents using a supervised machine learning framework.

Champer, S. E., Oakes, N., Sharma, R., García-Díaz, P., Champer, J., Messer, P. W., (2021). PLoS Computational Biology 17(12) Public Library of Sciences (PLoS), San Francisco, USA. English language

Climate based model in determining the distribution pattern of Cecropia peltata L across global landscape.

Yudaputra, A., Hutabarat, P., (2021). IOP Conference Series : Earth and Environmental Science 743 IOP Publishing Ltd, Bristol, UK. English language

Camera assisted roadside monitoring for invasive alien plant species using deep learning.

Dyrmann, M., Mortensen, A. K., Linneberg, L., Høye, T. T., Bjerge, K., (2021). Sensors 21(18) MDPI AG, Basel, Switzerland. English language

Predicting insect outbreaks using machine learning: a mountain pine beetle case study.

Ramazi, P., Kunegel-Lion, M., Greiner, R., Lewis, M. A., (2021). Ecology and Evolution 11(19), 13014-13028. Wiley, Oxford, UK. English language