Komarudin
Universitas Catur Insan Cendekia Cirebon, West Java, Indonesia

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The Role of AI in Enhancing Agricultural Labor Efficiency: Perspectives from HR Managers in Agri-Tech Firms Septien Dwi Savandha; Ade Fitria Fatimah; Rani Santika; Komarudin
Digital Agriculture and Innovation Journal Vol. 1 No. 1 (2025): Digital Agriculture and Innovation Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/journaldaij.v1i1.1

Abstract

Artificial intelligence (AI) 's rapid adoption in agriculture transforms labor efficiency, especially in agri-tech firms. This study explores the role of AI in enhancing labor productivity from the perspectives of human resource (HR) managers in the sector. The primary objective is to understand how AI technologies influence labor allocation, management practices, and workforce adaptation. Utilizing a qualitative research methodology, data were collected through semi-structured interviews with HR managers in agri-tech firms. Thematic analysis was applied to interpret the data, highlighting key trends in AI implementation. Results show that AI significantly reduces manual labor in repetitive tasks like crop monitoring and irrigation, allowing firms to reallocate human resources to higher-value roles. However, challenges such as employee resistance, skill gaps, and high implementation costs were also reported. HR strategies, including phased AI implementation and extensive training programs, have effectively managed workforce transitions. The study concludes that AI is vital for improving labor efficiency in agriculture, but its full potential requires careful management of human resources to mitigate resistance and enhance technical proficiency. These findings offer practical implications for HR managers and policymakers aiming to integrate AI sustainably into agricultural labor practices
Augmented Reality (AR) for Soil Health Assessment: A Visual Guide for Farmers in Resource-Limited Agricultural Zones Dwi Mei Laraswati; Chiska Nova Harsela; Indi Millatul Maula; Pegi Sugiartini; Komarudin
Digital Agriculture and Innovation Journal Vol. 1 No. 1 (2025): Digital Agriculture and Innovation Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/journaldaij.v1i1.2

Abstract

The rapid advancement of digital technologies presents a significant opportunity for improving agricultural practices, particularly in resource-limited zones. Augmented Reality (AR) offers farmers an innovative real-time soil health assessment solution, enabling them to make informed decisions about irrigation, fertilization, and crop management. This study aims to evaluate the effectiveness of an AR-based soil health assessment tool tailored for smallholder farmers. A qualitative research approach was employed, using in-depth interviews and field observations with 20 farmers from rural agricultural areas. The tool provided real-time data on critical soil parameters, including moisture, nutrient levels, and pH balance. Results indicate that the AR tool significantly improved farmers’ ability to manage soil health, leading to more efficient water usage and optimized fertilizer application. However, challenges such as internet connectivity and digital literacy barriers were observed. Overall, the tool was found to be a valuable asset in promoting sustainable farming practices in low-resource areas. Future research should explore offline functionalities and broader applications of AR technology in agriculture.