The study presents a review of the use of remote sensors in agriculture, with an emphasis on their applications for banana cultivation (Musa AAA) in Costa Rica and other tropical regions. It evaluates three main areas: the delimitation of cultivated areas, the estimation of productivity, and the diagnosis of diseases. It analyzes the advantages of using satellite imagery, synthetic aperture radar (SAR), and drones (UAVs) in agricultural monitoring, highlighting their accuracy (up to 95%) in identifying plantations and detecting diseases such as black Sigatoka and Fusarium wilt. The study demonstrates the potential of these technologies to improve agricultural planning, environmental management, and phytosanitary prevention.
Universidad de Costa Rica, Costa Rica; Corporación Bananera Nacional (CORBANA S.A.); Instituto Tecnológico de Costa Rica (ITCR)
Guzmán-Álvarez, J. A., González-Zuñiga, M., Fernandez, J. A. S., & Calvo-Alvarado, J. C. (2022). Uso de sensores remotos en la agricultura: aplicaciones en el cultivo del banano. Agronomía Mesoamericana, 33(3).