Factors Influencing Precision Agriculture Technology Adoption Among Small-Scale Farmers in Kentucky and Their Implications for Policy and Practice

Agriculture, Journal Year: 2025, Volume and Issue: 15(2), P. 177 - 177

Published: Jan. 15, 2025

The increasing pressure on food security and environmental sustainability has emphasized the importance of effective farm resource usage. Precision agriculture technologies (PATs) have been considered as one solutions to these challenges. Multiple stakeholders agencies working in sector implemented various initiatives facilitate their adoption. Despite numerous initiatives, adoption PATs small farms is shallow United States. It important understand what socio-economic demographic factors influence decision-making regarding PAT This research aimed provide actionable insights that can help farmers overcome existing challenges capitalize benefits advanced agricultural practices, ultimately contributing resilience sector. study used a mixed approach (a combination mail, in-person, focus group discussion) investigate influencing by small-scale Kentucky. data were analyzed using binary logistic regression method. results revealed size longer years farming experience increased likelihood adoption, whereas farmers’ age negatively affected Other variables, such gender, income, education, did not significantly. To promote among Kentucky, policies should supporting younger building suitable for operating reducing barriers. Furthermore, providing targeted training resources technologies, thereby improving efficiency sustainability.

Language: Английский

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Zero Trust-based preventative detection of vulnerabilities for IoT-based precision agriculture: a case-study on the mySense platform

Procedia Computer Science, Journal Year: 2025, Volume and Issue: 256, P. 267 - 275

Published: Jan. 1, 2025

Language: Английский

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Advancing Precision Agriculture Through Digital Twins and Smart Farming Technologies: A Review

AgriEngineering, Journal Year: 2025, Volume and Issue: 7(5), P. 137 - 137

Published: May 6, 2025

The agricultural sector is evolving with the adoption of smart farming technologies, where Digital Twins (DTs) offer new possibilities for real-time monitoring, simulation, and decision-making. While previous research has explored Internet Things (IoT), UAVs, machine learning (ML), remote sensing (RS) in enhancing efficiency, a systematic approach to integrating these technologies within DTs ecosystem remains underdeveloped. This paper presents review 167 studies published between 2018 2025. objective this study examine recent advancements DTs-enabled precision agriculture propose comprehensive framework designing, integrating, optimizing farming. systematically examines current state DT adoption, identifies key barriers, computational efficiency challenges, provides step-by-step methodology implementation. sheds light on potential future direction implications policy, aim speed up DTs-based farm management systems their operational success commercial viability through analysis practical applications perspectives. an innovative strategy digital physical into important contribution existing literature.

Language: Английский

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Are Indonesian rice farmers ready to adopt precision agricultural technologies?

Precision Agriculture, Journal Year: 2024, Volume and Issue: 25(4), P. 2113 - 2139

Published: June 14, 2024

Language: Английский

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