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THE APPLICATION OF DRONE TECHNOLOGY AND IMAGE ANALYSIS FOR MONITORING GRAZING PATTERNS AND RANGELAND CAPACITY IN CATTLE FARMING Figueroa, Ricardo; Chavarria, Carlos; Ramirez, Luis
Techno Agriculturae Studium of Research Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v2i6.2963

Abstract

The increasing demand for sustainable cattle farming and the pressure on rangeland resources have highlighted the need for efficient monitoring of grazing patterns and land carrying capacity. Traditional methods of monitoring rely on manual field surveys, which are labor-intensive and have limited coverage. Recent advancements in drone technology and image analysis present new opportunities for data-driven decision-making in livestock and rangeland management. This study explores the use of drone technology combined with image analysis techniques to monitor grazing patterns and assess rangeland capacity. A research and development design was employed, with drones capturing high-resolution aerial imagery of grazing areas at regular intervals. Image analysis techniques, including vegetation index extraction and spatial pattern analysis, were used to assess grazing intensity, vegetation cover, and biomass distribution. Data from the drone-based imagery were validated through ground observations and rangeland productivity records. The results show that drone-derived imagery accurately captured spatial variations in grazing behavior and vegetation condition, allowing for precise mapping of grazing zones and reliable estimates of rangeland carrying capacity. Compared to traditional methods, the drone-based approach was more efficient, offered greater spatial accuracy, and reduced the need for field surveys. In conclusion, integrating drone technology and image analysis offers a scalable solution for sustainable rangeland and livestock management.
Food Security and Climate Change Impacts on Nutrition: Exploring Vulnerabilities in Food Systems and Their Health Consequences Swasono, Muh. Aniar Hari; Chavarria, Carlos; Jimenez, Olivia
Journal of Multidisciplinary Sustainability Asean Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v3i2.3641

Abstract

Background. Climate change has emerged as a major threat to global food security, profoundly affecting food availability, accessibility, utilization, and stability, with direct consequences for human nutrition and health. Disruptions in food systems caused by rising temperatures, extreme weather events, and environmental degradation have intensified nutritional vulnerabilities, particularly among low-income and climate-sensitive populations. Purpose. This study aims to explore how climate change impacts food systems and to assess the resulting nutritional and health consequences across different socio-economic contexts. Method. A mixed-methods approach was employed, combining secondary data analysis from global food security, climate, and nutrition databases with a systematic review of peer-reviewed literature and international reports. Descriptive and comparative analyses were used to identify patterns of vulnerability, while thematic analysis was applied to examine pathways linking climate stressors, food systems, and nutritional outcomes. Results. The results indicate that climate change significantly undermines food system resilience, leading to reduced dietary diversity, increased micronutrient deficiencies, and heightened risks of malnutrition. The impacts are most pronounced in regions with limited adaptive capacity and weak food governance structures. Conclusion. The study concludes that strengthening food system resilience through climate-adaptive policies, sustainable agricultural practices, and integrated nutrition strategies is essential to mitigate health risks and ensure long-term food security in a changing climate.