TY  - JOUR
T1  - Feature Selection using Group Search Optimizer for Plant Leaf Classification
AU - Ravishankkar, A.M. AU - Amudhavalli, P. 
JO  - Asian Journal of Information Technology
VL  - 16
IS  - 11
SP  - 810
EP  - 815
PY  - 2017
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2017.810.815
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2017.810.815
KW  - Group Search Optimizer (GSO)
KW  -feature selection
KW  -neural networks
KW  -plant leaf identification
KW  -Plants
KW  -detect plants
AB  - 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.
ER  -