Classification of Remote Sensing Image Scenes Using Double Feature Extraction Hybrid Deep Learning Approach
Volume-3 | Issue-2
Light Weight CNN based Robust Image Watermarking Scheme for Security
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Principle of 6G Wireless Networks: Vision, Challenges and Applications
Volume-3 | Issue-4
PROGRESS AND PRECLUSION OF KNEE OSTEOARTHRITIS: A STUDY
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Is Internet becoming a Major Contributor for Global warming - The Online Carbon Footprint
Volume-2 | Issue-4
Augmented Reality in Education
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A Study on Various Task-Work Allocation Algorithms in Swarm Robotics
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IoT based Biotelemetry for Smart Health Care Monitoring System
Volume-2 | Issue-3
Tungsten DiSulphide FBG Sensor for Temperature Monitoring in Float Glass Manufacturing
Volume-2 | Issue-4
GUI based Industrial Monitoring and Control System
Volume-3 | Issue-2
AUTOMATION USING IOT IN GREENHOUSE ENVIRONMENT
Volume-1 | Issue-1
Principle of 6G Wireless Networks: Vision, Challenges and Applications
Volume-3 | Issue-4
Classification of Remote Sensing Image Scenes Using Double Feature Extraction Hybrid Deep Learning Approach
Volume-3 | Issue-2
Light Weight CNN based Robust Image Watermarking Scheme for Security
Volume-3 | Issue-2
VIRTUAL REALITY GAMING TECHNOLOGY FOR MENTAL STIMULATION AND THERAPY
Volume-1 | Issue-1
Design of Digital Image Watermarking Technique with Two Stage Vector Extraction in Transform Domain
Volume-3 | Issue-3
Analysis of Natural Language Processing in the FinTech Models of Mid-21st Century
Volume-4 | Issue-3
PROGRESS AND PRECLUSION OF KNEE OSTEOARTHRITIS: A STUDY
Volume-3 | Issue-3
Image Augmentation based on GAN deep learning approach with Textual Content Descriptors
Volume-3 | Issue-3
Comparative Analysis for Personality Prediction by Digital Footprints in Social Media
Volume-3 | Issue-2
Volume - 4 | Issue - 2 | june 2022
Published
06 July, 2022
Farmer suicidal hotspot detection proposed in this paper aims to reduce the death of the farmers. Using geographical information system is vital in predicting potential hotspots for farmer suicide. This study has collected and analyzed data on farmer suicide in India, using state-wise information from the National Crime Records Bureau and has determined the recent higher rate of farmer suicide. Spatial statistics analysis tools that address average nearest neighbor analysis has been used. Global analysis through Moran's Index, analyzed that the farmer suicides have a clustered pattern and plotted a farmer suicidal hotspot map using Getis-Ord (Gi*) analysis. The results show the highest farmer suicide index is in Maharashtra and hence, farmer suicidal hotspot has been found district wise. There are four farmer suicidal factors such as, number of farmer suicide, the population density of farmers, climate, and income. This hotspot geographical region helps to identify future suicidal risk by studying the hotspot map. Moreover, government policy may suggest a hotspot zone to help the overall development of the country’s growth.
KeywordsFarmer suicidal factor Moran's Index Hotspot Analysis Population pattern
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