This paper examines the economic and environmental impacts of the proposed Jamrani Irrigation Dam Project on the upstream and downstream areas. This study is primarily empirical, and a case study of six villages was conducted. A total of 415 households are being affected—fully and partially, due to the construction of the dam, out of which 122 heads of households were interviewed. A structured questionnaire was constructed, and the heads of households were asked about the socio-economic and environmental impacts of the proposed dam project. Furthermore, a detailed perception study of these households was conducted. Secondary data related to the size of the dam project, various land uses being affected by the dam, its socio-economic and environmental impact, and the most beneficial sectors were collected from the irrigation department, Government of Uttarakhand’s report 2020. In addition, socio-economic data from 415 households were collected from the same source. This study reveals that the dam project will have many favourable economic impacts in terms of supplying ample water for drinking and irrigation, electricity generation, development of infrastructural facilities and tourism, and the Gaula River flood control. On the other hand, the dam project will lead to land degradation, depletion of faunal and floral resources, soil erosion, and finally, the rehabilitation of the affected people. This study suggests that the proper use of technology and a suitable rehabilitation policy will make the project successful.
Climate change poses significant challenges to agriculture, particularly in developing nations like Nigeria, where the sector is highly dependent on vulnerable rain-fed farming systems. Extreme weather events such as prolonged droughts, erratic rainfall, flooding, and rising temperatures threaten agricultural productivity, food security, and rural livelihoods. This study examines the vulnerability of food crops to climate change, focusing on smallholder farmers’ perceptions and adaptation strategies. Using a multistage sampling technique, data were collected from 480 smallholder farmers across selected agro-ecological zones in Nigeria. The study employed descriptive statistics and a crop vulnerability scale to assess the susceptibility of key food crops—maize, cassava, sorghum, rice, millet, soybean, and yam—to climate extremes. Findings reveal that drought is the most critical climate-induced stressor affecting food crops, with maize and cassava exhibiting the highest vulnerability indices. Flooding also presents a substantial risk, particularly to maize, while temperature fluctuations have relatively less severe immediate impacts. The study highlights the importance of climate information dissemination, cooperative memberships, and extension services in enhancing farmers’ resilience. However, limited access to climate information remains a significant barrier to adaptation. Given the observed variability in crop vulnerability, it is recommended to implement targeted climate adaptation strategies such as drought-resistant crop varieties, improved drainage systems, and early warning mechanisms. This study underscores the urgent need for climate-smart agricultural policies and resilience-building measures to safeguard food production and rural livelihoods in Nigeria amid escalating climate change threats.
This research investigates how different branding aspects influence Generation Z’s intention to purchase newly launched technological products designed for the agricultural sector. Given Gen Z’s strong digital engagement and preference for authenticity, sustainability, and innovation, branding plays a pivotal role in shaping their buying decisions. The study aims to assess the impact of key branding elements—such as brand experience, knowledge, image, trust, and loyalty—on the purchase intention of newly launched technological products with applications in agriculture management and informatics. As agricultural practices increasingly integrate smart farming technologies, data-driven decision-making, and precision agriculture, branding becomes crucial in ensuring the adoption of these innovations. Agricultural informatics—encompassing IoT-based monitoring systems, AI-driven analytics, and automated farm management solutions—relies on user trust and engagement for successful market penetration. Gen Z, a tech-savvy and socially conscious demographic, is particularly responsive to brands that emphasize efficiency, sustainability, and transparency in agricultural innovations. A quantitative research approach was adopted, utilizing a structured questionnaire administered to 302 Generation Z participants. Statistical analyses, including correlation and multiple regression, were conducted to examine the relationships between branding factors and purchasing behavior. The results indicate that online brand experience, brand knowledge, and brand image are the most significant predictors of purchase intention, highlighting the critical role of digital interactions, educational branding, and the perceived value of technology in optimizing agricultural processes. Although brand trust and loyalty influence consumer behavior, their impact is less significant than that of experience and knowledge. Although brand awareness and engagement correlate with purchase intention, they do not independently drive purchasing decisions. The study concludes that companies should prioritize enhancing digital brand experiences, providing transparent information, and reinforcing brand imagery to drive product adoption among Generation Z, particularly in the agricultural sector. As this generation continues to shape market trends, agricultural informatics, and smart farming technologies, businesses must craft branding strategies that align with Gen Z’s digital habits, values, and expectations. Future research should explore the long-term impact of branding on agricultural technology adoption and investigate the role of emerging technologies such as blockchain, AI, and big data in strengthening brand engagement and loyalty within the agricultural sector.
