BLOCKCHAIN-BASED CROP MONITORING USING AN INTERPLANETARY FILE SYSTEM
DOI:
https://doi.org/10.47163/agrociencia.v59i8.3553Palabras clave:
agriculture, blockchain technology, machine learning.Resumen
Continuous monitoring of crops is essential for early issue detection and data-driven decision making, which supports improved yield, quality, and environmental sustainability in agriculture. Blockchain technology has been used for continuous monitoring of agricultural fields, although its adoption remains limited due to economic and technological constraints. This study proposes an enhanced crop-monitoring framework with InterPlanetary File System (IPFS) technology to overcome the limitations of existing models. Experimental evaluation showed that the proposed model achieved 98 % accuracy and a 99.8 % confidentiality rate. System throughput increased from 3 kb s-1 for 10 kb of data to 307 kb s-1 for 3000 kb, demonstrating strong scalability. By integrating decentralized IPFS storage with blockchain-based traceability, the system ensures data integrity, cost-efficiency, and reliable real-time monitoring, offering a practical solution for precision agriculture. These findings demonstrate the potential of the IPFS-enabled framework as an efficient alternative to conventional blockchain-dependent models.
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Agrociencia es una publicación sesquimensual en formato totalmente en inglés, y editada por el Colegio de Postgraduados. Carretera México-Texcoco Km. 36.5, Montecillo, Texcoco, Estado de México, CP 56264, Teléfono (52) 5959284427. www.colpos.mx. Editor en Jefe de Agrociencia: Dr. Fernando Carlos Gómez Merino. Reservas de Derechos al Uso Exclusivo: 04-2021-031913431800-203, e-ISSN: 2521-9766, otorgados por el Instituto Nacional del Derecho de Autor.








