OPTIMIZATION FOR BIOMASS BASED PLANT LOCALIZATION USING NDVI SUPER PIXELS FOR PUNJAB STATE, INDIA

  • Harpreet Singh Dhaliwal, Yadwinder Singh Brar, Gursewak Singh Brar

Abstract

Punjab state holds third position in crop production in INDIA [1]. As crop production is directly
proportional to the amount of crop residual produced, handling of this large crop residual in an efficient
manner is a challenge. A big amount of crop residual gets used in the form of fodder, thatching,
manuring and fuel wood, but a common practice to burn the remaining crop residual in open fields will
led to serious health hazards[2]. Study shows total unused crop residual for year 2017-18 is 14736.1
kty-1, which have the potential to generate around 1938.94 MWy-1. Proposed work optimizes the biobased power plant locations along with its collection centers to use crop residual. Mathematical models
have been developed to locate geo centers to reduce transportation cost. Study shows each bio-based
power plant has the tendency to produce minimum of 124.52 MWy-1. Landsat8 bands followed by NDVI
and super pixel calculations used to enhance optimal model performance

Published
2020-04-13
How to Cite
Harpreet Singh Dhaliwal, Yadwinder Singh Brar, Gursewak Singh Brar. (2020). OPTIMIZATION FOR BIOMASS BASED PLANT LOCALIZATION USING NDVI SUPER PIXELS FOR PUNJAB STATE, INDIA. International Journal of Advanced Science and Technology, 29(6s), 2723 -. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/12192