
Abstract: Agro-tourism is emerging as a vital sector in Nashik district, contributing significantly to rural development and the local economy. This study, titled "Utilizing GIS Techniques for Agro-tourism Development in Nashik District: A Geospatial Study," aims to explore and analyze the expansion of agro-tourism in this region through advanced Geographic Information System (GIS) techniques. By leveraging spatial data and GIS tools, we identify key areas with high potential for agro-tourism, examining factors such as land use, accessibility, natural resources, and existing agricultural practices. The research employs spatial analysis to map current agro-tourism sites and highlight potential zones for future development. The study's findings reveal spatial patterns and trends in agro-tourism expansion, offering insights into the optimal locations for new agro-tourism ventures. Furthermore, the geo-spatial analysis provides valuable information for policymakers and stakeholders to enhance strategic planning and sustainable development in the agro-tourism sector. This research underscores the importance of integrating GIS technologies in agro-tourism planning, demonstrating how geospatial data can drive informed decision-making and promote economic growth in rural areas. The results contribute to the broader understanding of agro-tourism dynamics and support the sustainable development goals by fostering community-based tourism and agricultural sustainability in Nashik District.
Agro-tourism, Spatial data, decision-making, and agricultural sustainability.
Agro-tourism, Spatial data, decision-making, and agricultural sustainability.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
