Call for Papers:Vol.12 Issue.1

Submission
Last date		 28-Feb-2026
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-12,Issue-1. 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: :  Smart Plant Monitoring System
PaperId: :  23887
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-23887
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Prof. Manisha VaidyaPriyadarshani JL College of Engineering
Indrajeet ChardePriyadarshani JL College of Engineering
Harshal PimpalkarPriyadarshani JL College of Engineering
Kalyani ShiwankarPriyadarshani JL College of Engineering
Janvi BawankarPriyadarshani JL College of Engineering

Abstract

Agriculture
Moisture Sensor, Humidity Temperature Sensor, NodeMCU, Relay Module, Internet of Things
In recent years, the agricultural sector has witnessed a paradigm shift towards the adoption of smart technologies to enhance productivity, optimize resource utilization, and ensure sustainability. The Smart Agriculture System (SAS) integrates advanced technologies such as Internet of Things (IoT), artificial intelligence (AI), data analytics, and remote sensing to revolutionize traditional farming practices. This paper presents an abstract overview of SAS, highlighting its key components, benefits, and potential applications.The primary components of SAS include sensor networks, data analytics platforms, and decision support systems. Sensor networks deployed across agricultural fields collect real-time data on various parameters such as soil moisture, temperature, humidity, and crop health. This data is transmitted to a centralized data analytics platform where advanced algorithms analyze it to derive meaningful insights. Decision support systems utilize these insights to provide farmers with actionable recommendations for optimized crop management practices, including irrigation scheduling, fertilization, pest control, and harvesting.The implementation of SAS offers numerous benefits to farmers, including increased crop yields, resource efficiency, and cost savings. By precisely monitoring environmental conditions and crop health, farmers can optimize resource utilization, minimize wastage, and mitigate risks associated with adverse weather conditions and pest infestations. Furthermore, SAS enables data-driven decision-making, empowering farmers to make informed choices based on real-time insights and predictive analytics.In addition to improving farm productivity and profitability, SAS contributes to sustainable agriculture by reducing environmental impact and promoting conservation practices. By optimizing water and energy usage, minimizing chemical inputs, and adopting precision farming techniques, SAS helps mitigate the environmental footprint of agricultural activities while ensuring long-term soil fertility and ecosystem health.The potential applications of SAS extend beyond traditional farming practices to encompass diverse areas such as smart irrigation, precision agriculture, crop monitoring, and livestock management. Moreover, SAS facilitates seamless integration with existing agricultural machinery and infrastructure, enabling farmers to leverage their investments and transition towards a digitally enabled farming ecosystem.

Citations

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

IJARIIE Prof. Manisha Vaidya, Indrajeet Charde, Harshal Pimpalkar, Kalyani Shiwankar, and Janvi Bawankar. "Smart Plant Monitoring System" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 3 2024 Page 1797-1803
MLA Prof. Manisha Vaidya, Indrajeet Charde, Harshal Pimpalkar, Kalyani Shiwankar, and Janvi Bawankar. "Smart Plant Monitoring System." International Journal Of Advance Research And Innovative Ideas In Education 10.3(2024) : 1797-1803.
APA Prof. Manisha Vaidya, Indrajeet Charde, Harshal Pimpalkar, Kalyani Shiwankar, & Janvi Bawankar. (2024). Smart Plant Monitoring System. International Journal Of Advance Research And Innovative Ideas In Education, 10(3), 1797-1803.
Chicago Prof. Manisha Vaidya, Indrajeet Charde, Harshal Pimpalkar, Kalyani Shiwankar, and Janvi Bawankar. "Smart Plant Monitoring System." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 3 (2024) : 1797-1803.
Oxford Prof. Manisha Vaidya, Indrajeet Charde, Harshal Pimpalkar, Kalyani Shiwankar, and Janvi Bawankar. 'Smart Plant Monitoring System', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, 2024, p. 1797-1803. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Smart_Plant_Monitoring_System_ijariie23887.pdf (Accessed : ).
Harvard Prof. Manisha Vaidya, Indrajeet Charde, Harshal Pimpalkar, Kalyani Shiwankar, and Janvi Bawankar. (2024) 'Smart Plant Monitoring System', International Journal Of Advance Research And Innovative Ideas In Education, 10(3), pp. 1797-1803IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Smart_Plant_Monitoring_System_ijariie23887.pdf (Accessed : )
IEEE Prof. Manisha Vaidya, Indrajeet Charde, Harshal Pimpalkar, Kalyani Shiwankar, and Janvi Bawankar, "Smart Plant Monitoring System," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, pp. 1797-1803, May-Jun 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Smart_Plant_Monitoring_System_ijariie23887.pdf [Accessed : ].
Turabian Prof. Manisha Vaidya, Indrajeet Charde, Harshal Pimpalkar, Kalyani Shiwankar, and Janvi Bawankar. "Smart Plant Monitoring System." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 3 ().
Vancouver Prof. Manisha Vaidya, Indrajeet Charde, Harshal Pimpalkar, Kalyani Shiwankar, and Janvi Bawankar. Smart Plant Monitoring System. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(3) : 1797-1803. Available from: https://ijariie.com/AdminUploadPdf/Smart_Plant_Monitoring_System_ijariie23887.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
ROLE OF ADVANCED CLINICAL OPTOMETRY AND RETINAL IMAGING IN EARLY DETECTION AND RISK STRATIFICATION OF OCULAR DISEASESEducationSayani Pal Choudhury Download
USER FEEDBACK RATING COMPUTATION BASED ON A HYBRID RECOMMENDER SYSTEMartificial intelligenceHasanain Sahib Mohammed Download
The Prometheus Dilemma: Navigating the Ethical Labyrinth of Generative Artificial IntelligenceGenerative AIMrs. Shruti Pant Download
CHATBOT BASED HELPDESK FOR GOVERNMENT EMPLOYEES AND DEPARTMENTSComputer ScienceMr. Praveen Pawaskar Download
Intelligent System for Automatic Sports Highlight GenerationEngineering and TechnologyDevendra Bodkhe Download
Emotion-Aware Personalized Music StreamingEngineering and TechnologyUjjwal Pathak Download
VOTERS FRAUD DETECTION SYSTEMArtificial Intelligence and Machine Learning EngineeringPRATHIKSHA R Download
Campus 360 – Smarter Student ERPcomputer engineeringJignesh Patel Download
AI-Driven Electronic Health Record System for Smart Diagnosis and CareArtificial Intelligence and Data ScienceJIGNESH PATEL Download
MULTI-LAYER PRIVACY PROTECTION FOR FEDERATED LEARNING IN HEALTHCAREARTIFICIAL INTELLIGENCE AND DATA SCIENCEJIGNESH PATEL Download
CivicConnect AI: An Intelligent Full-Stack Platform for AI-Based Civic Issue ManagementComputer EngineeringMr. Chirag TS Gowda Download
Online Recruitment Detection And Prevention TechniquesArtificial inteligence and machine learning engineering Pratiksha Ashtekar Download
Driver Drowsiness Detection using Deep LearningMaster of Computer ApplicationThejas Gowda R V Download
Navigating Academic Integrity in the Age of Artificial Intelligence: Experiences of Teachers on Assessing Student OutputsEnglish Language TeachingKaren Joy G. Beldia Download
QUANTIFICATION OF WATER EROSION USING THE RUSLE MODEL: Case of a zone in the Ankazobe district, Analamanga Region, MADAGASCARPhD in geomatics and soil scienceAnjatiana RAKOTOARIMALALA Download
12