A Crowd-Based Approach for the 'MGNREGA' Program to Support Tree Plantation in Bharat using Machine Learning
DOI : 10.46335/IJIES.2024.9.1.5
Authors : Pramod B Gosavi , Dr. Girishkumar Patnaik
Abstract -Increasingly, Crowdsourcing involves harnessing the collective contributions of diverse individuals who may either volunteer or engage in part-time work for the purpose of socioeconomic production, primarily in the digital realm. The primary objective of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) is to ensure livelihood security for individuals residing in rural areas. The utilization of Remote Sensing (RS) and Geographical Information System (GIS) offers a highly efficient approach for gathering, storing, and analyzing the assets associated with the MGNREGA. The suggested plantation system involves leveraging resources under the MGNREGA through a crowd-based approach. Machine Learning techniques help to identify area for tree Plantation. This approach entails referencing a database of various tree types suitable for different areas and locations across Bharat (India) for the purpose of tree plantation. Examples of such trees include Mango trees, Amrud (Guava) trees, Sitafal (Custard Apple), Anar (Pomegranate), Jamun (Java Plum), Chikoo (Sapodilla) trees, Peepal trees, Neem trees, and Vad (Banyan tree).
