Model-based neural network algorithm for coffee ripeness prediction using helios UAV aerial images

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5976, Issue , 2005, Pages

  Furfaro, R ^a   Ganapol, B D ^a   Johnson, L F ^b   Herwitz, S ^b  

^a University of Arizona   (United States)

^b NASA AMES RESEARCH CENTER   (United States)

Author keywords

Canopy Model; Crop Management; Neural Networks; Radiative Transfer; Remote Sensing in Agriculture; UAV

Indexed keywords

CANOPY MODEL; RADIATIVE TRANSFER;

AIRCRAFT; ALGORITHMS; FOOD PRODUCTS; IMAGING SYSTEMS; MATHEMATICAL MODELS; REMOTE SENSING; UNMANNED VEHICLES;

NEURAL NETWORKS;

EID: 33244494810     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.627420     Document Type: Conference Paper

References (9)

1. st AIAA UAV Conf., 20-23 May 2002, Portsmouth, VA.
2. Johnson L., Herwitz S., Lobitz B., Dunagan S., 2004, Feasibility of monitoring coffee field ripeness with airborne multispectral imagery. Applied Engineering in Agriculture.
3. Ganapol, B.D., L.F. Johnson, C.A. Hlavka, D.L. Peterson, and B. Bond, 1999, LCM2: A coupled leaf/canopy radiative transfer model, Remote Sensing of Environment, 70:153-166.
4. Ganapol, B.D., L.F. Johnson,P.D. Hammer, C.A. Hlavka, D.L. Peterson, 1998, LEAFMOD: A new Within-Leaf Radiative Transfer Model. Remote Sensing of Environment, 63:182-193.
5. Smith J, 1993: LAI inversion using back-propagation neural network trained with multiple scattering model, IEEE Transaction on Geosciences and Remote Sensing, 31(5), 1102-1106.
6. Strahler A., Gopal S., Abuelgasim A.A., 1998, Forward and inverse modeling of canopy directional reflectance using a neural network, Int. Journal of Remote Sensing, vol. 19, no. 3, 453-471
7. Combal B., Baret F., Weiss M., Tribuil A., Mace' D., Pragnere A., Myneni R., Knyazikhin, Y., Wang L., 2002, Retrieval of canopy biophysical variables from bidirectional reflectance using prior information to solve the ill-posed inverse problem, Remote Sensing of Environment, 84, 1-15.
8. Furfaro R., 2004, Radiative Transport in Plant Canopies: Forward and Inverse Problem for UAV Applications, PhD Dissertation, University of Arizona, Tucson, AZ
9. Furfaro, R., Ganapol, B. D., Johnson, L., Herwitz, S., 2005, Coffee ripeness monitoring with airborne imagery: Neural Network algorithms for field ripeness evaluation using minimal a-priori information, in preparation.