Unveiling AI-driven enablers for AgriTech startups: a strategic pathway to transforming Indian agriculture Pallawi Baldeo Sangode, Pulkit Marwah Journal of Agribusiness in Developing and Emerging Economies, 2026 Purpose This study explores the major drivers of Artificial Intelligence (AI) adoption by AgriTech firms in the Indian agriculture sector. The study aims to identify and assess operational, technological and policy-related factors that make adoption in agriculture possible, particularly in AgriTech startups. Design/methodology/approach The process included expert consultation, qualitative appraisal and the formation of a structural framework based on interviews with analytics, AI and agricultural specialists. This study validated the top seven AI enablers in Indian agriculture through expert consultations. Five specialists in analytics and five in agriculture academia were consulted. Further, the Multicriteriathe Multicriteria Decision Making Technique, called the Interpretive Structural Modelling technique, is used to identify the interrelationships among the enablers, thereby reaching the major drivers. Findings Market connections, IoT and remote sensing, crop health and pest control, financial and insurance support and governmental regulations are the five significant enablers identified. Research limitations/implications The results indicate the importance of enablers and supportive government actions for adopting AI in AgriTech firms. Originality/value This research identifies and analyzes AI-powered enablers for the development of AgriTech startups in India, providing a strategic model to increase agricultural transformation, thus adding to the scarce studies in this domain.
Demographic influence on truck driver psychology: Examining the mediating role of economic and social challenges in Indian logistics sector Pallawi Baldeo Sangode, Aliasger Wagh, Sonal Purohit Transportation Research Interdisciplinary Perspectives, 2025 • Demographic factors shape truck drivers’ psychological well-being in India’s logistics sector. • Economic and social challenges mediate demographics and driver psychological outcomes. • Age, education, family size, and working hours affect truck drivers’ mental well-being. • Low wages and high operational costs directly contribute to psychological stress. • Reducing economic insecurity can ease psychological burdens on truck drivers. This research explores the impacts of demographic variables on the psychological well-being of truck drivers working in India, such as age, education, family size, and duration of work hours. Specifically, it considers how social and economic challenges mediate this relationship. Drivers with various logistics backgrounds, including owner-operators, are surveyed via an uncomplicated random sample method. Partial Least Squares Structural Equation Modelling (PLS-SEM) in Smart PLS 4.0 was applied to assess the data. The findings indicate that drivers’ mental health is significantly affected by demographic factors, owing mainly to increasing social and economic pressures. For example, low pay, high costs, and less social support render younger drivers with lower education levels and longer working hours more stressed. Enhancing economic stability and social respect for the profession can assist in lowering this tension and make the logistics industry more sustainable.
Dairy 4.0: Embracing Digital Technology for Sustainable Farming:AReview Pallawi Baldeo Sangode Asian Journal of Dairy and Food Research, 2025 In the fourth industrial revolution, digital technologies are being utilized to construct efficient and sustainable dairy farms by combining various technology and resources. It is now more important than ever to embrace innovation and developing technologies in order to tackle the current global concerns by automating and modernizing the operations. However, the industry faces challenges in adopting new technologies, such as limited access to advanced technologies, inadequate infrastructure and a knowledge deficit among farmers. This article gives an overview of the evolution of dairy 4.0 from dairy 1.0. in resonance with the evolution of Industry 4.0. This is a review paper that investigated past literatures to identify the components of Dairy 4.0 that are supportive to sustainable innovation. The Indian dairy industry has transformed significantly due to technological advancements, including automation, precision farming and Industry 4.0 systems. The results show that robotics, 3D printing, artificial intelligence, Internet of Things, big data and blockchain are among the core facilitating technologies of Dairy 4.0. These innovations improve production, efficiency and milk quality, while also aiding breeding, herd management and sustainability. However, ongoing investment in technology infrastructure is necessary to ensure maximum production and productivity.
RELATIONSHIP BETWEEN FOOD SECURITY, AGRICULTURE AND THE SUSTAINABLE DEVELOPMENT GOALS: A BIBLIOMETRIC ANALYSIS Ganeshkumar D. Rede, Pallawi B. Sangode, Ramkrishna Dikkatwar, Varun Sarda, Hari Babu Singu Agricultural and Resource Economics, 2025 Purpose. Given the urgent need to save the planet, countries are striving to achieve the UN Sustainable Development Goals (SDGs). Agriculture is one of the sectors that contributes to the achievement of these goals on a global scale. As practices in this sector change, direct impacts on soil, air and water are evident, calling into question the sustainability of these practices. Furthermore, food security or food availability is also directly linked to the achievement of the SDGs. With limited research, this study examines the relationship between food security, agriculture, and SDGs.Methodology / approach. This research conducted a bibliometrics analysis from two databases, Web of Science (WoS), with 1450 papers and Scopus 463 documents for 10 years from 2014 to May 2024. Key parameters are identified and ranked, including highly productive authors, countries, disciplines, and institutions. The bibliometric software VOSviewer was used to perform co-word analysis and identify research clusters.Results. The research findings indicate that the United States, followed by India and China, have demonstrated the highest levels of publication activity within the field. The literature predominantly emphasises the SDGs, particularly Zero Hunger, Climate Action, and Life on Land, through the lens of agriculture and food security. The study underscores the leadership of the United States, India, and China in agricultural research, highlighting the critical necessity for concerted collaboration among researchers, policymakers, and practitioners to foster a transformative food system globally. The findings suggest that agriculture is crucial in attaining food security by guaranteeing sustainable food production, combating hunger, and encouraging activities that improve environmental conservation – all critical for long-term food availability –because of SDG 2: Zero Hunger.Originality / scientific novelty. This paper stands out for its originality as, by using bibliometric analysis, the study systematically maps the scientific literature and uncovers nuanced connections between food security, agriculture, and SDGs. Such an analysis has not yet been widely documented. This study contributed to a deeper understanding of the relationships and dynamics shaping global efforts to achieve food security and sustainable agriculture.Practical value / implications. This study offers a new perspective on how these critical areas of food security, agriculture, and SDGs interplay and evolve, providing crucial insights for policymakers, researchers, and practitioners alike. Moreover, the paper contributes to the academic discourse by synthesising trends, identifying gaps, and suggesting future research directions, paving the way for informed decision-making and impactful interventions in global food security and sustainable agriculture efforts.
Modelling the Barriers to the Implementation of Drone Technology in Indian Agriculture Pallawi B. Sangode Indian Journal of Agricultural Research, 2025 Background: One of the developments in the adoption of ICT, information and communications technology, that has been brought swiftly into the agriculture sector with its operation is the drone technology as a result of the rise of food demand all around the globe. This study presents the challenges in the use of done technology in Indian agriculture system. Methods: Major barriers are identified through literature review and then Failure Mode and Effect Analysis is done to rank the barriers. They are further subjected to interrelationships for identifying the driving variables to the occurrence of major challenges using Interpretive Structural Modelling technique. Result: The study concludes that Social anxiety concerning automation in agriculture is a dependent challenge. This results from concerns about job loss, resistance to change, skill gaps, ethical misgivings and regulatory uncertainty. Moreover, the conservatism of traditional techniques could well strengthen their aversion to technological change and the environmental toll, along with power concentration in some agricultural sectors, may deter farming activity.
Enablers to the adoption of sustainable practices in automotive manufacturing: interpretive structural modelling driven by multi-company perspective Pallawi Baldeo Sangode African Journal of Science Technology Innovation and Development, 2025 In mounting global environmental concerns, firms orient their operations, from supplier selection to product distribution to sustainable models. The pressure of environmental sustainability is more felt by heavy industries that have a high dependence on natural resources for energy generation, the automobile manufacturing sector being one. Earlier research has put considerable emphasis on theoretical literature regarding sustainability. On the other hand, research on global sustainable manufacturing practices is thin. Therefore, addressing this gap in research becomes important for the world's understanding of sustainability use in manufacturing contexts. This paper aims to study global auto manufacturers’ sustainability enablers and propose a framework for interrelationships and the hierarchy of these enablers for adopting sustainability in manufacturing. An intensive review of the literature and a study of six major global automotive manufacturers is conducted to identify the drivers of sustainable manufacturing. Cross-sector collaborations, green raw material selection, use of greener vehicles, digitization, and data-driven manufacturing are the major drivers identified that support sustainable practices. The resulting enablers of sustainable manufacturing are redesigning, modularization of parts, habitat programmes for resource preservation, life cycle analysis, re-manufacturing, and refurbishing. Automakers in the nascent stage of implementing sustainability practices are able to get insight into implementing sustainable initiatives from this paper.
