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Review Paper | Agriculture | Volume 15 Issue 7, July 2026 | Pages: 1045 - 1057 | India
Entrepreneurship in Smart Agriculture: Driving Innovation, Sustainability, and Rural Transformation
Abstract: Smart agriculture represents a modern farming paradigm that integrates digital technologies and data-driven decision-making to enhance agricultural productivity, resource-use efficiency, and environmental sustainability. The adoption of advanced technologies, including the Internet of Things (IoT), artificial intelligence (AI), machine learning, sensor networks, drones, and precision farming tools, enables continuous monitoring of agricultural operations and supports timely, evidence-based management decisions. These technologies facilitate efficient utilization of critical resources such as water, fertilizers, pesticides, and energy, thereby improving crop performance while minimizing production costs and environmental impacts. Recognizing the growing importance of technology-enabled agriculture, governments worldwide have introduced policies and support mechanisms to encourage agri-entrepreneurship. These enterprises are actively engaged in areas such as precision agriculture, smart irrigation, agricultural mechanization, organic farming, livestock production, dairy, fisheries, agri-logistics, digital supply chain management, and the conversion of agricultural waste into value-added products. By combining technological innovation with sustainable business practices, agri-entrepreneurs are contributing to increased farm productivity, improved market access, and enhanced rural livelihoods. Despite these developments, the adoption of smart agricultural technologies remains limited in many farming communities. This paper examines the emerging role of entrepreneurship in promoting smart agriculture and discusses the technological innovations, business opportunities, implementation challenges, and policy measures required to achieve sustainable agricultural development. Strengthening collaboration among governments, research institutions, private enterprises, financial organizations, and farming communities will be essential for accelerating the adoption of smart farming technologies and ensuring long-term food security, economic resilience, and sustainable rural development.
Keywords: data-driven approaches, Internet of Things (IoT), artificial intelligence (AI), machine learning, traditional farming methods, precision agriculture, and climate change
How to Cite?: Navkirat Singh, Samreen Kaur, Sukhjinder Singh, "Entrepreneurship in Smart Agriculture: Driving Innovation, Sustainability, and Rural Transformation", Volume 15 Issue 7, July 2026, International Journal of Science and Research (IJSR), Pages: 1045-1057, https://www.ijsr.net/getabstract.php?paperid=SR26710152748, DOI: https://dx.doi.org/10.21275/SR26710152748