Authors : A.M. Ravishankkar and P. Amudhavalli
Abstract: Ecosystem provides food, medicine, oxygen, fuel, etc., for plants to play a vibrant role while plant identification has an essential role to play in numerous fields such as agriculture, medicine, culinary art, etc. Due to non-availability of fruits and flowers throughout the year making the classification difficult besides time consuming, plants classification can be done with the help of leaves and flowers. Many researchers have proposed various methods to detect plants besides using various detecting systems to classify neural system. Researchers were attracted towards neural systems to recognise area pattern due to its strength to learn from training dataset. In addition, to recognize pattern, selecting attributes is a vital task to enable fortitude of most pertinent features. Due to its rapid acceleration in coming closer, Group Search Optimizer (GSO), a swarm-based effective algorithm has been successfully put in place to various problems.
A.M. Ravishankkar and P. Amudhavalli, 2017. Feature Selection using Group Search Optimizer for Plant Leaf Classification. Asian Journal of Information Technology, 16: 810-815.