Title
Integration Of Remote Sensing And Environmental Modeling For Pollution Prevention In Citrus Industry
Keywords
Citrus farm; Environmental impact assessment; Industrial ecology; Pesticide control; Precision farming; Remote sensing; Sustainability
Abstract
This paper aims at developing an airborne multispectral technique for identifying tree health problems in a citrus farm that can be combined with variable rate technology (VRT) for required pesticide application and environmental modeling for assessment of pollution prevention. Unsupervised linear unmixing method was applied to classify the image scenes and quantify the symptom severity for appropriate infection control. The PRZM-3 model was used to estimate environmental impacts that contribute to nonpoint source pollution with and without the application of multispectral remote sensing. Research findings using site specific environmental assessment clearly indicate that combination of remote sensing and VRT may result in benefit to the environment by reducing the nonpoint source pollution by 92.15% in the citrus farm. It ultimately demonstrates the potential of precision farming in the citrus industry, both in Texas and elsewhere, in the nexus of industrial ecology and sustainability.
Publication Date
1-1-2006
Publication Title
5th International Conference on Environmental Informatics, ISEIS 2006
Number of Pages
-
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
84915749182 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84915749182
STARS Citation
Chang, Ni Bin; Du, Q.; and Srilakshmi Kanth, R., "Integration Of Remote Sensing And Environmental Modeling For Pollution Prevention In Citrus Industry" (2006). Scopus Export 2000s. 8735.
https://stars.library.ucf.edu/scopus2000/8735