Lacerda, L.N., J. Snider, Y. Cohen, V. Liakos, M. Levi, G. Vellidis. (2022). Correlation of UAV and Satellite-Derived Vegetation Indices with Cotton Physiological Parameters and their Use as a Tool for Scheduling Variable Rate Irrigation in Cotton. Precision Agriculture. https://doi.org/10.1007/s11119-022-09948-6
Chalise, D.P., J. Snider, L.C. Hand, P. Roberts, G. Vellidis, A. Ermanis, G.D. Collins, L.N. Lacerda, Y. Cohen, A. Pokhrel, D. Parkash, J.M. Lee. (2022). Cultivar, Irrigation Management, and PGR Strategy: Effects on Cotton Growth Yield, and Maturity. Fields Crop Research 286, 108633. https://doi.org/10.1016/j.fcr.2022.108633
Santos, A.F., L.N. Lacerda, C. Rossi, L.A. Moreno, M.F. Oliveira, C. Pilon, R.P. Silva, G. Vellidis. (2022). Using UAV and multispectral images to estimate peanut maturity variability on irrigated and dryland fields applying linear models and artificial neural networks. Remote Sensing 14(1), 93. https://doi.org/10.3390/rs14010093
Lacerda, L.N., J. Snider, Y. Cohen, V. Liakos, S. Gobbo, G. Vellidis. (2022). Using UAV-Based Thermal Imagery to Detect Crop Water Status Variability in Cotton. Smart Agricultural Technology 2, 100029. https://doi.org/10.1016/j.atech.2021.100029
Lacerda, L.N., Y. Cohen, J. Snider, H. Huryna, V. Liakos, G. Vellidis. (2021). Field scale assessment of the TsHARP technique use for thermal sharpening of MODIS satellite images using VENµS and Sentinel-2- derived NDVI. Remote Sensing 13, 1155. https://doi.org/10.3390/rs13061155
Santos, A.F., L.N. Correa, L.N. Lacerda, D.T. Oliveira, C. Pilon, G. Vellidis, R.P. Silva. (2021). High-resolution satellite image to predict peanut maturity variability in commercial fields. Precision Agriculture 22, 1464-1478. https://doi.org/10.1007/s11119-021-09791-1
Ermanis, A., S. Gobbo, J.L. Snider, Y. Cohen, V. Liakos, L. Lacerda, C.D. Perry, M.A. Bruce, G. Vellidis. (2020). Defining physiological contributions to yield loss in response to irrigation in cotton. Journal of Agronomy Crop Science 207, 186-196. https://doi.org/10.1111/jac.12453
Conference Proceedings
Lacerda, L.N., M. Levi, G. Vellidis. (2023). Using geospatial tools to assess the correlation between soil spatial variability and cotton yield in an irrigated system. Precision Agriculture ’23 – Papers Presented the 14th European Conference on Precision Agriculture (14ECPA), Bologna, Italy, Wageningen Academic Publishers, p. 571-577. (Peer Reviewed). https://doi.org/10.3920/978-90-8686-947-3_72
Lacerda, L.N., Y. Miao, K. Mizuta, K. Stueve. (2022). Identifying Key Factors Influencing Yield Spatial Pattern and Temporal Stability for Management Zone Delineation. Proceedings of 15th International Conference on Precision Agriculture, Minneapolis, USA, June 26-29.
Mizuta, K., A.C. Morales, L.N. Lacerda, Y. Miao, et at. (2022). Evaluating a Satellite Remote Sensing and Calibration Strip-based Precision Nitrogen Management Strategy for Corn in Minnesota and Indiana. Proceedings of 15th International Conference on Precision Agriculture, Minneapolis, USA, June 26-29.
Lacerda, L.N., J. Snider, Y. Cohen, V. Liakos, G. Vellidis. (2021). The use of remote sensing for variable rate irrigation in cotton. In: J.V. Stafford (Ed.), Precision Agriculture ’21 – Papers Presented at the 13th European Conference on Precision Agriculture (13ECPA), Budapest, Hungary, Wageningen Academic Publishers, p. 379-385 (Peer Reviewed). https://doi.org/10.3920/978-90-8686-916-9_45
Santos, A.F., L.N. Lacerda, S. Gobbo, A. Tofannin, R.P. Silva, G. Vellidis. (2019). Using remote sensing to map in-field variability of peanut maturity. In: J.V. Stafford (Ed.), Precision Agriculture ’19 – Papers Presented the 12th European Conference on Precision Agriculture (12ECPA), Montpellier, France, Wageningen Academic Publishers, p. 605-611. (Peer Reviewed). https://doi.org/10.3920/978-90-8686-888-9_75
Oliveira, M.F., A.F. Santos, L.N. Lacerda, R.P. Silva, G. Vellidis. (2019). Peanut maturity estimation using remote sensing and artificial neural networks. Proceedings of XVI Encontro Sobre a Cultura do Amendoim, Jaboticabal, Brazil. [In portuguese]
Liakos, V., G. Vellidis, L.N. Lacerda, M. Tucker, W. Porter, C. Cox. (2018). Management zone delineation for Irrigation based on Sentinel-2 satellite images and field properties. Proceedings of 14th International Conference on Precision Agriculture, Quebec, Canada, June 24-27.
Book Chapters
Santos, A.F., L.N. Lacerda, and R.P. Silva. (2019). Remote sensing to predict peanut maturity. In: Silva, R.P., A.F. Santos, and W.C. Carrega (ed.) Advances in Peanut Production. 1ed. Jaboticabal, SP: Funep, v. 1, p. 1-10.
