Research & Innovation
My research examines how farmer knowledge, attitudes, communication systems, innovation attributes, economic conditions, institutional support, and behavioural factors shape agricultural technology adoption in smallholder and climate-vulnerable farming systems.
My PhD research at Universiti Putra Malaysia investigates how smallholder dairy farmers evaluate and respond to recommended dairy farming practices in an arid and climate-vulnerable livestock production system.
The study examines the roles of farmer knowledge, attitudes, communication sources, perceived attributes of agricultural innovations, socio-economic characteristics, and economic, informational, and behavioural barriers in shaping willingness to adopt improved dairy practices.
The research is grounded in the Diffusion of Innovations (DOI), Technology Acceptance Model (TAM), and Theory of Planned Behaviour (TPB), allowing adoption decisions to be understood as a combination of knowledge, perception, behavioural readiness, and real-world enabling conditions.
Field data were collected from 430 valid dairy farmers across all seven talukas and 168 Dehs of Tharparkar District through structured face-to-face interviews.
My doctoral corrections have been submitted to the examination committee, and the PhD is currently in the final completion stage.
I investigate why farmers become willing—or remain unable—to adopt agricultural innovations, with particular interest in knowledge, attitudes, perceived usefulness, ease of use, compatibility, behavioural control, and adoption readiness.
My work examines how extension systems can move beyond one-way information delivery toward farmer-centred advisory approaches that connect technical knowledge with services, training, inputs, demonstrations, and practical implementation support.
I study how extension agents, interpersonal networks, mobile phones, digital platforms, mass media, demonstrations, and community-based communication channels influence farmer learning and agricultural technology diffusion.
A major part of my research focuses on informational, economic, behavioural, institutional, and service-access barriers that prevent willingness from becoming actual implementation.
My doctoral work uses smallholder dairy farming as an applied setting for examining innovation adoption, animal-health practices, farm management, farmer decision-making, livelihood resilience, and extension support.
I am increasingly interested in adoption of climate-smart practices, sustainable livestock systems, resource-efficient farming, climate-risk communication, and strategies that strengthen resilience among resource-constrained farming households.
My emerging research agenda explores digital advisory systems, mobile-based extension, artificial intelligence-supported agricultural communication, farmer trust in digital information, and technology acceptance in rural communities.
I am interested in Agricultural Knowledge and Innovation Systems (AKIS), particularly the relationships among farmers, researchers, extension organizations, universities, government agencies, private-sector actors, and rural institutions.
During my academic mobility at Kyushu University, I developed a stakeholder-focused study examining farmer awareness and perceptions of sustainable MIDORI rice practices in Itoshima, Japan.
The project connected agricultural sustainability with innovation diffusion, farmer perceptions, communication, and adoption readiness.
My international research interests include comparing agricultural technology adoption and advisory systems across developed and developing-country contexts, particularly Japan, South Asia, Southeast Asia, and other Global South farming systems.
I aim to extend my research from willingness and intention toward actual adoption, implementation intensity, sustained practice use, behavioural interventions, digital advisory systems, and comparative agricultural policy research.
Quantitative cross-sectional, descriptive-correlational, explanatory, and survey-based research designs with emphasis on applied agricultural extension and rural social-science research.
Experience in multistage sampling, questionnaire development and adaptation, local-language translation, pilot testing, enumerator training, face-to-face data collection, respondent screening, data cleaning, and field quality assurance.
Descriptive statistics, reliability analysis, correlation, multiple regression, chi-square analysis, Cramér’s V, exploratory and confirmatory factor analysis, moderation analysis, and practical effect-size interpretation.
Experience using SPSS, AMOS, PROCESS Macro, and R for statistical analysis, model testing, moderation analysis, visualization, and interpretation of agricultural survey data.
My work integrates behavioural and innovation theories with agricultural realities to explain how perceptions interact with economic resources, institutional services, information access, and environmental constraints.
I place strong emphasis on translating statistical findings into practical extension strategies, farmer-oriented recommendations, advisory interventions, policy options, and communication approaches.
My research demonstrates that farmers’ knowledge and attitudes are important components of adoption readiness, but their influence must be understood alongside structural and institutional conditions.
Farmers are more likely to consider agricultural practices when innovations are perceived as compatible, useful, manageable, observable, and appropriate to their farming circumstances.
My barriers research highlights that low adoption readiness should not automatically be interpreted as farmer resistance. Information gaps, affordability, input availability, veterinary services, and institutional support may significantly constrain farmers who are otherwise willing to improve their practices.
This work supports an extension approach that combines practical information with affordable implementation pathways, service access, demonstrations, local-language communication, and farmer-centred advisory support.
Longitudinal and intervention-based research examining whether farmer intention and willingness translate into implementation, sustained practice use, and measurable farm-level outcomes.
Exploring how mobile advisory services, artificial intelligence, digital communication, and data-driven extension can improve access to trusted agricultural information while maintaining farmer confidence and usability.
Understanding farmer decisions around climate-smart livestock, water-management, sustainable rice production, and resource-efficient agricultural practices.
Developing comparative research across Asia and other international farming systems to understand how institutions, culture, advisory services, and economic conditions affect innovation adoption.
I welcome collaborations in agricultural extension, technology adoption, farmer behaviour, dairy and livestock systems, digital agriculture, climate-smart farming, rural development, survey research, comparative studies, and international agricultural development.
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