Artificial Intelligence: Machine Learning for Early Detection of Pests and Diseases in Basic Crops, Nicaragua

The present article highlights relevant aspects of the development process of the mobile application that incorporates Machine Learning techniques to early detect pests and diseases in staple grain crops such as corn, beans, and sorghum, which are essential for human consumption in Nicaragua. Agile...

• Huvudupphovsman: Urbina Cienfuegos, Saira María (author)
• Övriga upphovsmän: Bravo Rivas, Jazcar Josué (author)
• Materialtyp: article
• Språk: spa
• Publicerad: 2025
• Ämnen: machine learning; plagas; enfermedades; cultivos; pests; diseases; crops
• Länkar: https://revistadigital.uce.edu.ec/index.php/INGENIO/article/view/7221