Detection of sugarcane African stalk borer Eldana Saccharina Walker (Lepidoptera:Pyralidae) using hyperspectral remote sensing (spectroradiometry)
OUTPUT TYPE: Journal Article
PUBLICATION YEAR: 2009
TITLE AUTHOR(S): T.A.Mokhele, F.Ahmed, D.E.Conlong
KEYWORDS: HYPERSPECTRAL REMOTE SENSING, SUGAR PRODUCTION, SUGARCANE
Print: HSRC Library: shelf number 6125
HANDLE: 20.500.11910/4538
URI: http://hdl.handle.net/20.500.11910/4538
If you would like to obtain a copy of this Research Output, please contact Hanlie Baudin at researchoutputs@hsrc.ac.za.
Abstract
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 and split longitudinally to assess damage and count the number of E. saccharina. This approach is time-consuming, labour intensive and sometimes biased as, in some instances, only easily accessible areas are surveyed. To investigate a more economical but equally sensitive survey methodology, this paper aims at determining the potential use of hyperspectral remote sensing (spectroradiometry) for identifying sugarcane infested by E. saccharina. A hand-held ASD (Field Spec? 3) spectroradiometer was used to take leaf spectral measurements of sugarcane plants from a potted-plant trial taking place under shade house conditions. In this trial, nitrogen and silicon fertiliser applications as well as varieties used were known. In addition, watering regimes and artificial infestation of E. saccharina were carefully controlled. Results illustrated that severe E. saccharina infestation increased reflectance throughout the whole spectrum range (400-2500 nm). E. saccharina stalk damage was also linearly related to modified normalized difference vegetation index (mNDVI) using R2025 and R2200 (R2=0.69). It was concluded that hyperspectral data has a potential for use in monitoring E. saccharina in sugarcane rapidly and non-destructively under controlled conditions. A follow-up study is recommended in field conditions and using airborne and/or spaceborne hyperspectral sensors.-
Related Research Outputs:
- Estimation of leaf nitrogen and silicon using hyperspectral remote sensing
- Understanding interactive capabilities for skills development in sectoral systems of innovation: a case study of the sugarcane growing and milling sector in KwaZulu-Natal
- Global sugar, regional water, and local people: EU sugar regime liberalisation, rural livelihoods, and the environment in the Incomati River Basin
- Formulation of recommendation domains for sugarcane varieties: using modified stability analysis and best linear unbiased predictor
- A cooperative benefits framework in South Africa's land redistribution process: the case of sugarcane farmland transfers
- Can South Africa's sugar industry contribute to clean energy supply?: lessons from best practices in cogeneration
- How are public and private decision-makers aligned to address changing skills needs?: evidence from a case study of the sugar sector
- Modelling the potential impact of a sugar-sweetened beverage tax on stroke mortality, costs and health-adjusted life years in South Africa
- An integrated approach for modeling the electricity value of a sugarcane production system
- Bridging skills demand and supply in South Africa: the role of public and private intermediaries
- Modelling electricity generation from sugarcane production system using systems dynamics
- The fragmented politics of sugarcane contract farming in Uganda