Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Green Shield:The Smart Farming System For Suicide Avoidance
PaperId: :  24090
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 3 2024
DUI:    16.0415/IJARIIE-24090
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
DineshKumar MRajarajeswari College of Engineering
Diksheetha RRajarajeswari College of Engineering
Divyashree GRajarajeswari College of Engineering
Panendra RRajarajeswari College of Engineering

Abstract

Information Science and Engineering
Convolutional Neural Network, YOLO V5
Introduces a ground-breaking plan that uses cutting-edge technologies to solve the urgent problem of farmer suicides. The method blends three necessary components for early prediction, creating a complete answer to the various problems that farmers encounter. First, To detect issues related to plant health, the system employs Convolutional Neural Networks (CNN. This helps farmers who greatly depend on their agricultural produce by acting as an early warning system of possible financial difficulties in addition to helping to maintain crop yield. Second, the project protects crops from unforeseen hazards provided by animals by using YOLOv5 for animal entrance detection. This function guarantees that farmers' livelihoods are protected and helps to mitigate financial losses for them. By incorporating these state-of-the-art techniques into a platform for real-time monitoring, The system's ultimate goal is to lower the startlingly high incidence of farmer suicides by proactively warning authorities and farmers about possible emergencies and providing them with the tools they need to act quickly and effectively .Moreover, this multi-feature strategy promotes agricultural sustainability in addition to addressing current problems. The platform for real-time monitoring gives farmers the ability to make well-informed decisions and act quickly in the face of new difficulties. This empowerment reduces the stress brought on by uncertainty in agriculture, which enhances general well-being. The initiative aims to improve farmers' lives by developing a comprehensive system that integrates animal invasions and technology-driven early detection of plant illnesses that frequently results in startlingly high farmer suicide rates.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE DineshKumar M, Diksheetha R, Divyashree G, and Panendra R. "Green Shield:The Smart Farming System For Suicide Avoidance" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 3 2024 Page 3058-3068
MLA DineshKumar M, Diksheetha R, Divyashree G, and Panendra R. "Green Shield:The Smart Farming System For Suicide Avoidance." International Journal Of Advance Research And Innovative Ideas In Education 10.3(2024) : 3058-3068.
APA DineshKumar M, Diksheetha R, Divyashree G, & Panendra R. (2024). Green Shield:The Smart Farming System For Suicide Avoidance. International Journal Of Advance Research And Innovative Ideas In Education, 10(3), 3058-3068.
Chicago DineshKumar M, Diksheetha R, Divyashree G, and Panendra R. "Green Shield:The Smart Farming System For Suicide Avoidance." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 3 (2024) : 3058-3068.
Oxford DineshKumar M, Diksheetha R, Divyashree G, and Panendra R. 'Green Shield:The Smart Farming System For Suicide Avoidance', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, 2024, p. 3058-3068. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Green_Shield_The_Smart_Farming_System_For_Suicide_Avoidance_ijariie24090.pdf (Accessed : ).
Harvard DineshKumar M, Diksheetha R, Divyashree G, and Panendra R. (2024) 'Green Shield:The Smart Farming System For Suicide Avoidance', International Journal Of Advance Research And Innovative Ideas In Education, 10(3), pp. 3058-3068IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Green_Shield_The_Smart_Farming_System_For_Suicide_Avoidance_ijariie24090.pdf (Accessed : )
IEEE DineshKumar M, Diksheetha R, Divyashree G, and Panendra R, "Green Shield:The Smart Farming System For Suicide Avoidance," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, pp. 3058-3068, May-Jun 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Green_Shield_The_Smart_Farming_System_For_Suicide_Avoidance_ijariie24090.pdf [Accessed : ].
Turabian DineshKumar M, Diksheetha R, Divyashree G, and Panendra R. "Green Shield:The Smart Farming System For Suicide Avoidance." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 3 ().
Vancouver DineshKumar M, Diksheetha R, Divyashree G, and Panendra R. Green Shield:The Smart Farming System For Suicide Avoidance. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(3) : 3058-3068. Available from: https://ijariie.com/AdminUploadPdf/Green_Shield_The_Smart_Farming_System_For_Suicide_Avoidance_ijariie24090.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
DYNAMIC MULTI-KEY AUTHENTICATION FOR IOT SYSTEM USING SECURE VAULTSInformation Science EngineeringVinay M G Download
INTEGRATING THE FLIPPED CLASSROOM MODEL WITH PROJECT-BASED LEARNING IN TEACHING MICROSOFT POWERPOINT: A CASE STUDY AT THE UNIVERSITY OF AGRICULTURE AND FORESTRY, THAI NGUYEN UNIVERSITYEducationNguyen Ngoc Lan Download
Eye Glaucoma Detection Using Machine LearningInformation Science & Engineering Uday M B Download
The Shift to Electronic Payment Methods in Commercial Banks: Benefits and ChallengesDigital BankingEssam Zaid Shoaib Al-Dabbashi Download
DEEP ADAPTIVE FEATURE FUSION FOR ORIGIN DESTINATION PASSENGER FLOW FORECASTING IN MASS EVENTSInformation TechnologyBHUKYA RAJAKUMAR Download
REAL TIME EMERGENCY VEHICLE DETECTION USING MACHINE LEARNINGComputer Science and EngineeringAravinthkumar A Download
COLLEGIUMBOT: AN AI-DRIVEN CHATBOT FOR ENHANCING STUDENT ENGAGEMENT AND CAMPUS LIFE THROUGH VOICE-BASED INTERACTIONInformation TechnologySIVASANKAR CHITTOOR Download
AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKSInformation TechnologyT SUNDARARAJULU Download
BLOOD GROUP DETECTION USING FINGERPRINTInformation TechnologyN ANITHA Download
SOLAR RADIATION PREDICTION USING MACHINE LEARNINGInformation TechnologyM RAM KUMAR Download
DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAININFORMATION TECHNOLOGYT.SUNDARARAJULU. Download
DEEP CONVOLUTIONAL NEURAL NETWORK FOR ROBUST DETECTION OF OBJECT-BASED FORGERIES IN ADVANCED VIDEOINFORMATION TECHNOLOGYD.VISWASAHITYA Download
SMART CAR PRICE PREDICTOR USING MACHINE LEARNINGINFORMATION TECHNOLOGYS.JASMIN Download
SUPERVISED LEARNING MODEL INSIGHTS AND EVALUATIONInformation TechnologyB. RAJA KUMAR Download
Enhancing Forensic Data Protection: A Robust Storage Framework with Verified Access and Intelligent Key-Based EncryptionComputer Science EngineeringN ANITHA Download
12