Proceedings
Authors
| Filter results2 paper(s) found. |
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1. Artificial Intelligence for Management Zone Delineation: A Bibliometric Review (2008-2025)This bibliometric review aims to map research trends, key terms, and leading institutions in the use of artificial intelligence (AI) methods, with emphasis on Machine Learning (ML), Deep Learning (DL), and Neural Networks, applied to the delineation of management zones (MZs) in Precision Agriculture (PA). The analysis was conducted using the Scopus database, applying a structured search string to titles, abstracts, and keywords. Metadata were collected on September 26, 2025. The initial search... L. De Goes Sterle, J.P. Molin, R. Fray Da Silva |
2. Detection of Maize Foliar Diseases Using AI Optimized for Deployment on Edge DevicesMaize is a strategic crop for both regional and global food security. Its productivity is significantly affected by several foliar diseases, among which—common rust, gray leaf spot, and blight—are some of the most prevalent and damaging. These pathologies can cause substantial yield losses if not detected and treated in a timely manner, making early diagnosis a fundamental factor to ensure healthy and sustainable crop development. However, traditional diagnostic methods based on manual... O.J. González Zarate, L. Macea Zabaleta, N. Castillo Ojeda, A.F. Flórez Olivera, T.A. Rodolfo, C. Gonzalez Aguilera |