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Abstract
A vital pillar of Malaysia's agricultural economy, the livestock sector supplies essential products such as meat, dairy, and leather. Central to effective livestock management is accurate weight estimation, as it can inform feeding, healthcare, breeding, and market readiness. Traditionally, livestock weight is measured using mechanical scales, yet this method is labour-intensive, costly, time-consuming, and often stressful for animals. Recent advances in artificial intelligence (AI) and mobile technology present transformative opportunities to improve livestock weighing. This study explores the development and application of AI-powered mobile tools capable of estimating cattle weight through image recognition and machine learning, hence minimising physical handling and reducing animal stress. The study evaluates the feasibility, accuracy, cost-effectiveness, and scalability of such solutions. The methodology involves comprehensive data collection across diverse cattle breeds and environments, deep learning model training, pilot testing, comparison with traditional weighing methods, and scalability assessments across various farming contexts. Preliminary results suggest that AI-enabled tools can significantly improve farm productivity, lower operational costs, and enhance animal welfare. However, these tools demand diverse and high-quality datasets and are sensitive to environmental conditions. Moreover, there are challenges such as farmers' digital literacy and access to supporting technology infrastructure. The study recommends structured pilot programmes, farmer training, supportive policy frameworks, and integration with broader smart agriculture systems. By advancing AI-based cattle weight estimation, this research supports Malaysia’s agricultural modernisation and contributes to ASEAN’s digital transformation goals. It also aligns with the One ASEAN Startup Award's aim of fostering sustainable, tech-driven innovation in the region's agricultural sector.
Suggested Citation
Ipinfra Networks & Kentaro Machii & Mudhya Tiara & Muhammad Rafi Aurelian Rizkiansyah, 2025.
"The Role of AI-Powered Mobile Apps in Cattle Weight Estimation,"
Books,
Economic Research Institute for ASEAN and East Asia (ERIA), number 2025-RPR-36 edited by Ipinfra Networks & Kentaro Machii & Mudhya Tiara & Muhammad Rafi Aurelian Rizkiansyah, December.
Handle:
RePEc:era:eriabk:2025-rpr-36
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