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Manju Prem S.

Publications (8)

Impact of Covid-19 on Farmers' Behavior in Chikkaballapur District, Karnataka, India

Manju Prem S., S. K. Acharya, Amitava Biswas, Mohanraj M. & Mohamed Aseemudheen M. · Advances in Research · 2024

This study explored how COVID-19 affected farmers in Chikkaballapur District, Karnataka, India. Using an ex-post-facto research design, data were collected from 50 randomly selected farmers through a pretested structured interview schedule. The goal was to understand their percep...

Open access Research Article 10.9734/air/2024/v25i41123

A Review on Community Radio Stations of Karnataka, India

Manju Prem S., Karthik R., N. R. Kiran, Gunashekhar H. & B. Manjunatha. · Asian Journal of Advances in Agricultural Research · 2024

This review paper explores the impact and contributions of community radio stations in Karnataka, India. Since the inception of community radio in India, these stations have evolved to address various local needs and issues. Karnataka, with its diverse array of community radios,...

Open access Research Article 10.9734/ajaar/2024/v24i8534

Empowering Women through Education and Skill Development: A Descriptive Analysis of Beti Bachao-Beti Padhao, Stand-Up India, and Skill India Mission

Manju Prem S., B. Manjunatha., Gunashekhar H., N. R. Kiran & Karthik R. · Asian Journal of Agricultural Extension, Economics & Sociology · 2024

This paper explores three pivotal government initiatives in India—Beti Bachao-Beti Padhao (BBBP), Stand-Up India, and Skill India Mission—aimed at enhancing the education and skill development of women. By examining the genesis, objectives, key components, and impacts of each pro...

Open access Research Article 10.9734/ajaees/2024/v42i72521

Analysis of Socio-economic Impacts of COVID-19 on Agricultural Practices Using Stepwise Regression

Manju Prem S., Mohanraj M., Sneha M. A., Swadhin Priyadarsinee & Pooja Krishna J. · Archives of Current Research International · 2024

The COVID-19 pandemic has profoundly impacted rural farming communities, revealing significant shifts in economic factors, production methods, and farm management practices. This study, conducted in Chikkaballapur district, Karnataka, delves into the socio-economic ramifications...

Open access Research Article 10.9734/acri/2024/v24i5716

Enhancing Organizational Capacity: A Holistic Examination of Evolution, Methods and Challenges

Manju Prem S., Jayalekshmi G., Mohanraj M., Sneha M. A. & Riza Mathew · Journal of Experimental Agriculture International · 2024

This comprehensive review explores the evolution, importance, methods, challenges, and recommendations for capacity building across various sectors, with a focus on rural development and agricultural stakeholders. Beginning with a historical overview from the 1960s to the present...

Open access Research Article 10.9734/jeai/2024/v46i52440

Advanced Methods for Constructing UE(\(S^2 )\) Optimal Supersaturated Designs in Factor Screening Experiments

B. Manjunatha, Manju Prem S., Gunashekhar H., Karthik R., K. R. Mahendra, N. R. Kiran, Damodhara G. N. & Karthik V.C. · Journal of Scientific Research and Reports · 2024

Supersaturated designs (SSDs) are crucial in factor screening experiments, especially when factor sparsity is assumed, meaning only a few factors are expected to be significant. Building on the foundational work of Jones and Majumdar [1], who introduced the UE(\(S^2 )\)  criterio...

Open access Research Article 10.9734/jsrr/2024/v30i82304

Multidimensional Scaling Method and Some Practical Applications

B. Manjunatha, Appaji Pundalik Naik, K. R. Mahendra, Manju Prem S., Gunashekhar H., N. R. Kiran, Damodhara G. N. & Karthik R. · Archives of Current Research International · 2024

Multi-Dimensional Scaling (MDS) is a data visualization method that identifies clusters of points by representing the distances or dissimilarities between sets of objects in a lower-dimensional space. This paper explores the theoretical concepts of MDS, various methods of impleme...

Open access Research Article 10.9734/acri/2024/v24i6814

Theoretical Foundations and Application of Hidden Markov Models

B. Manjunatha, Karthik R., N. R. Kiran, Appaji Pundalik Naik, Damodhara G. N., Gunashekhar H., Manju Prem S. & K. R. Mahendra · Journal of Scientific Research and Reports · 2024

Hidden Markov Models (HMMs) are effective statistical techniques used to uncover underlying patterns in observable sequential data This paper provides a comprehensive overview of the theoretical foundations of HMMs, including key algorithms essential for their implementation, suc...

Open access Research Article 10.9734/jsrr/2024/v30i82303