La agricultura de precisión en la detección de áreas infectadas con Roya en Villa Clara

Authors

Abstract

ABSTRACT

The Cuban Sugar Cane Research Institute developed the phytosanitary service for sugarcane producers. Developing a Spatial Data Infrastructure system, which allows the integration of all available agricultural information in a single database and facilitates its use by managers and technicians of the productive base, is a priority in the work of cultivation. This work aimed to show the application of precision agriculture in rust-infected area detection in Villa Clara and its implementation in the recommendations of the Technical Scientific Services of INICA. The study is carried out in experimental areas of the Villa Clara Sugarcane Research Institute and production areas of different Agroindustrial Sugar Companies. As a result, the use of hyperspectral images of the Sentinel-2 satellite allowed obtaining information on the situation of this disease at the time it is needed, quickly and reliably. The detection of areas infected with brown rust, through precision agriculture techniques perfect the recommendation of the Technical Scientific Services.

Keywords: Precision agriculture, Information system, Decision support system.

Published

2024-04-24

How to Cite

Delgado Mora, I., Aday Díaz, O., Lugo Ruiz, I., Orozco Morales, R., & Hernández Santana, L. (2024). La agricultura de precisión en la detección de áreas infectadas con Roya en Villa Clara. Agroecosystem Transformation Journal, 12(1), 105–111. Retrieved from https://aes.ucf.edu.cu/index.php/aes/article/view/690