Main menu
DIRECTORIES
Research output keywords

HYPERSPECTRAL REMOTE SENSING

 A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z
Mokhele, T.A. & Ahmed, F.B. (2010) Estimation of leaf nitrogen and silicon using hyperspectral remote sensing. Journal of Applied Remote Sensing. 4(043560):1-18.
The potential to estimate the nutrient status in important agricultural crops such as maize and sugarcane is of significant interest. In South African sugarcane agriculture, just like in global ecosystem, the estimation of Nitrogen (N) and Silicon (Si) is very important. These nutrients are one of the factors influencing the prevalence of the stalk borer Eldana saccharina Walker (Lepidoptera: ...
Mokhele, T.A., Ahmed, F. & Conlong, D.E. (2009) Detection of sugarcane African stalk borer Eldana Saccharina Walker (Lepidoptera:Pyralidae) using hyperspectral remote sensing (spectroradiometry). Sugar Cane International. 27(6):237-244.
The South African sugar industry is one of the world's leading sugarcane producers. The stalk borer Eldana saccharina has for many years been the most destructive pest in the South African sugar industry and is the most important factor limiting sugarcane productivity. The pest has been monitored using a traditional visual approach whereby a representative sample of stalks is taken from a field...