Organic Farming In India: A Web Based Knowledge Hub

Authors

  • D. Bikshalu Assistant Professor in Dept. of CSE(AI&ML), Author
  • T.SaiPriyanka Assistant Professor, Dept. of CSE (Artificial Intelligence and Machine Learning)Vignan’s Institute of Management and Technology for Women, HYD, TS, India. Author
  • K. Sindhu B. Tech 2nd year Student, CSE (Artificial Intelligence and Machine Learning) Vignan's Institute of Management and Technology for Women, Hyderabad, India Author
  • P. Shirisha B. Tech 2nd year Student, CSE (AI&ML) Vignan's Institute of Management and Technology for Women, Hyderabad, India Author
  • K. Swathi B. Tech 2nd year Student, CSE (AI&ML) Vignan's Institute of Management and Technology for Women, Hyderabad, India Author
  • J. DivyaSree B. Tech 2nd year Student, CSE (AI&ML) Vignan's Institute of Management and Technology for Women, Hyderabad, India Author

Abstract

Organic farming in India has gained significant 
momentum in recent years due to increasing 
awareness about health, environmental 
sustainability, and food safety. However, a major 
challenge remains the lack of accessible, 
structured, and reliable information for farmers, 
researchers, and policymakers. This project aims 
to develop a web-based knowledge hub dedicated to 
organic farming practices in India. The platform 
will serve as a centralized repository of region
specific guidelines, best practices, crop calendars, 
certification processes, market linkages, and 
government schemes. It will integrate multimedia 
content, expert articles, and real-time updates to 
support informed decision-making. By leveraging 
digital tools and local language support, the 
knowledge hub aspires to empower Indian 
farmers, enhance organic agricultural 
productivity, and contribute to sustainable rural 
development. The initiative also envisions 
collaboration with agricultural universities, NGOs, 
and governmental bodies to ensure credibility and 
reach. This digital ecosystem is a step toward 
bridging the information gap and promoting a 
more resilient and eco-friendlier agricultural 
sector in India. 

 

DOI:  https://doi-ds.org/doilink/06.2025-44917428

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References

Organic farming in India has gained significant

momentum in recent years due to increasing

awareness

about

health,

environmental

sustainability, and food safety. However, a major

challenge remains the lack of accessible,

structured, and reliable information for farmers,

researchers, and policymakers. This project aims

to develop a web-based knowledge hub dedicated to

organic farming practices in India. The platform

will serve as a centralized repository of region

specific guidelines, best practices, crop calendars,

certification processes, market linkages, and

government schemes. It will integrate multimedia

content, expert articles, and real-time updates to

support informed decision-making. By leveraging

digital tools and local language support, the

knowledge hub aspires to empower Indian

farmers,

enhance

organic

agricultural

productivity, and contribute to sustainable rural

development. The initiative also envisions

collaboration with agricultural universities, NGOs,

and governmental bodies to ensure credibility and

reach. This digital ecosystem is a step toward

bridging the information gap and promoting a

more resilient and eco-friendlier agricultural

sector in India.

4]. D Shanthi, N Swapna, Ajmeera Kiran and A

Anoosha,

"Ensemble

Approach

Of

GPACOTPSOAnd SNN For Predicting

Software Reliability",International Journal Of

Engineering

Systems

Simulation, 2022.

Modelling

And

[5]. Jayanna, SP., S. Venkateswarlu, B. Ishwarya

Bharathi, CH. Mahitha, P. Praharshitha, and K.

Nikhitha. 2025. “Fake Social Media Profile

Detection And Reporting”. Metallurgical and

Materials

Engineering,

May, 965-71.

6]. Priyanka, M. T. S. ., Divya, D. N. ., Sruthi, A.

., Prasanna, S. L. ., Sahithi, B. ., & Jyothsna, P.

. (2025). Domain Detector - An Efficient

Approach Of Machine Learning For Detecting

Malicious Websites. Metallurgical and

Materials Engineering, 903–911. Retrieved

from

https://metall-mater

eng.com/index.php/home/article/view/1663

[7]. Geetha, M. D. . ., Haritha, M., Pavani, B. .,

Srivalli, C. ., Chervitha, P., & Ishrath, S. .

(2025). Eco Earn: E-Waste Facility Locator.

Metallurgical and Materials Engineering, 767

773. Retrieved from https://metall-mater

eng.com/index.php/home/article/view/1632.

[8]. D Shanthi, Smart Healthcare for Pregnant

Women in Rural Areas, Medical Imaging and

Health Informatics, Wiley Publishers,ch-17,

pg.no:317-334,

2022,

https://doi.org/10.1002/9781119819165.ch17

[9]. D.Shanthi, R. K. Mohanty and G. Narsimha,

"Application of machine learning reliability

data sets", Proc. 2nd Int. Conf. Intell. Comput.

Control Syst. (ICICCS), pp. 1472-1474, 2018.

10 D.Shanthi, "Ensemble Approach of ACOT

and PSO for Predicting Software Reliability",

2021 Sixth International Conference on Image

Information Processing (ICIIP), pp. 202-207,

2021.

[11].

D Shanthi, CH Sankeerthana and R Usha

Rani, "Spiking Neural Networks for Predicting

Software Reliability", ICICNIS 2020, January

2021,

[online]

https://ssrn.com/abstract=3769088.

[12].

Available:

Shanthi, D. (2023). Smart Water Bottle

with Smart Technology. In the Handbook of

Artificial Intelligence (pp. 204-219). Bentham

Science Publishers.

[13].

Babu, Mr. Suryavamshi Sandeep, S.V.

Suryanarayana, M. Sruthi, P. Bhagya Lakshmi,

T. Sravanthi, and M. Spandana. 2025.

“Enhancing Sentiment Analysis With Emotion

And Sarcasm Detection: A Transformer-Based

Approach”. Metallurgical and Materials

Engineering, May, 794-803.

14].

Narmada, J., Dr.N.Divya, K. Sruthi, P.

Harshitha, D. Suchitha, and D.Veera Reddy.

2025. “Ai-Powered Chacha Chaudhary Mascot

For

Ganga

Conservation

Awareness”.

Metallurgical and Materials Engineering, May,

761-66.

https://metall-mater

eng.com/index.php/home/article/view/1631.

[15].

P. Shilpasri PS, C.Mounika C, Akella P,

N.Shreya N, Nandini M, Yadav PK.

Rescuenet:

An Integrated Emergency

Coordination And Alert System. J Neonatal

[16].

P. K. Bolisetty and Midhunchakkaravarthy,

"Comparative Analysis of Software Reliability

Prediction and Optimization using Machine

Learning Algorithms," 2025 International

Conference on Intelligent Systems and

Computational Networks (ICISCN), Bidar,

India,

2025,

pp.

1-4,

10.1109/ICISCN64258.2025.10934209.

[17].

doi:

Priyanka, Mrs. T. Dr.Preethi Jeevan, A.

Sruthi, S. Laxmi Prasanna, B. Sahithi, and P.

Jyothsna. 2025. “Domain Detector - An

Efficient Approach of Machine Learning For

Detecting Malicious Websites”. Metallurgical

and Materials Engineering, May, 903-11.

[18].

Jayanna, SP., S. Venkateswarlu, B.

Ishwarya

Bharathi,

CH. Mahitha, P.

Praharshitha, and K. Nikhitha. 2025. “Fake

Social

Media

Profile

Detection

and

Reporting”. Metallurgical and Materials

Engineering, May, 965-71.

19 Parupati K, Reddy Kaithi R. Speech

Driven Academic Records Delivery System. J

Neonatal Surg [Internet]. 2025Apr.28 [cited

2025May23];14(19S):292-9. Available from:

https://www.jneonatalsurg.com/index.php/jns/

article/view/4767

[20].

Srilatha, Mrs. A., R. Usha Rani, Reethu

Yadav, Ruchitha Reddy, Laxmi Sathwika, and

N. Bhargav Krishna. 2025. “Learn Rights: A

Gamified Ai-Powered Platform For Legal

Literacy And Children’s Rights Awareness In

India”.

Metallurgical

and

Materials

Engineering, May, 592-98.

[21].

Shanthi, D., Aryan, S. R., Harshitha, K., &

Malgireddy, S. (2023, December). Smart

Helmet. In the International Conference on

Advances in Computational Intelligence (pp.

1-17). Cham: Springer Nature Switzerland.

[22].

P. K. Bolisetty and Midhunchakkaravarthy,

"Comparative Analysis of Software Reliability

Prediction and Optimization using Machine

Learning Algorithms," 2025 International

Conference on Intelligent Systems and

Computational Networks (ICISCN), Bidar,

India,

2025,

pp.

1-4,

10.1109/ICISCN64258.2025.10934209.

[23].

doi:

D Shanthi, “Early stage breast cancer

detection using ensemble approach of random

forest classifier algorithm”, Onkologia i

Radioterapia 16 (4:1-6), 1-6, 2022.

[24].

D Shanthi, "The Effects of a Spiking

Neural Network on Indian Classical Music",

International

Journal

Technologies

of

Emerging

and Innovative Research

(www.jetir.org | UGC and issn Approved),

ISSN:2349-5162, Vol.9, Issue 3, page no.

ppa195-a201, March-2022

[25].

Parupati K, Reddy Kaithi R. Speech

Driven Academic Records Delivery System. J

Neonatal Surg [Internet]. 2025 Apr.28 [cited

2025May23];14(19S):292-9. Available from:

https://www.jneonatalsurg.com/index.php/jns/

article/view/4767

[26].

Dr.D.Shanthi and Dr.R.Usha Rani, “

Network Security Project Management”,

ADALYA JOURNAL, ISSN NO: 1301-2746,

PageNo: 1137 – 1148, Volume 9, Issue 3,

March

2020

DOI:16.10089.AJ.2020.V9I3.285311.7101

[27]. D. Shanthi, R. K. Mohanthy, and G. Narsimha,

“Hybridization of ACOT and PSO to predict

Software Reliability ”, International Journal

Pure and Applied Mathematics, Vol. 119, No.

12, pp. 13089 - 13104, 2018.

[28]. D. Shanthi, R.K. Mohanthy, and G. Narsimha,

“Application of swarm Intelligence to predict

Software Reliability ”, International Journal

Pure and Applied Mathematics, Vol. 119, No.

14, pp. 109 - 115, 2018.

[29]. Thejovathi, Murari, and M. V. P. Chandra

Sekhara Rao. 2024. “An Integrated

Approach for Time Series Forecasting of

High-Demand Haircare Products in Rural

and Urban Areas Using Machine Learning

and Statistical Techniques”. International

Journal

of Intelligent Systems and

Applications in Engineering 12 (3):154-63.

https://ijisae.org/index.php/IJISAE/article/

view/5233.

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Published

2025-06-17

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How to Cite

Organic Farming In India: A Web Based Knowledge Hub. (2025). International Journal of Multidisciplinary Engineering In Current Research, 10(6), 106-115. https://ijmec.com/index.php/multidisciplinary/article/view/788

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