1. Evaluation of AccuPAR LP 80 in estimating leaf area index of soybeans canopy in Ile-Ife, Nigeria;Adeboye;Agric. Res.,2019
2. Estimating the phenological dynamics of irrigated rice leaf area index using the combination of PROSAIL and gaussian process regression;Adeluyi;Int. J. Appl. Earth Obs. Geoinf.,2021
3. Bai, G., Ge, Y., Scoby, D., Leavitt, B., Stoerger, V., Kirchgessner, N., ... & Awada, T., 2019. NU-Spidercam: A large-scale, cable-driven, integrated sensing and robotic system for advanced phenotyping, remote sensing, and agronomic research. Comput. Electron. Agric. 160(October 2018), 71–81. Doi: 10.1016/j.compag.2019.03.009.
4. Barnes, E. M., Clarke, T. R., Richards, S. E., Colaizzi, P. D., Haberland, J., Kostrzewski, M., ... & Moran, M. S., 2000. Coincident detection of crop water stress, nitrogen status and canopy density using ground based multispectral data. In Proc. Fifth Int. Conf. Precis. Agric. Bloomington, MN, USA (Vol. 1619, p. 6).
5. Retrieval of aboveground crop nitrogen content with a hybrid machine learning method;Berger;Int. J. Appl. Earth Obs. Geoinf.,2020