Integration of optical and radar satellite images for sugarcane monitoring in the Cauca Valley
(Spain) Alejandro Mestre Quereda, et al.
Use of Synthetic Aperture Radar images to assess soil moisture in cane crops: practical implications in agricultural operation
(Colombia) Diego Fernando Angrino Chiran , et al.
Data-driven agricultural management and technology use for risk assessment in sugarcane crop management
(Panama) Joel Morales Lemus, et al.
A SAFER model for accurately estimating actual evapotranspiration in sugarcane using Sentinel-2
(Colombia) Alberto M Arroyo Avilez, et al –
A deep-learning approach for in-field estimation of sugarcane weight
(Colombia) Luís Eduardo Gonzalez Buritica, et al –
Potential for the use of machine learning in sugarcane production in Thailand: a review
(Thailand) Somwang Leekar, et al
A digital methodology for soil mapping and assessment to calculate the organic carbon reserve
(Colombia) Oscar Javier Munar Vivas, et al.
A machine-learning approach for estimating mineral trash in sugarcane processing through turbidity measurements
(Colombia) Julián David Montes Posso, et al.
Integration of multispectral and SAR data with machine-learning algorithms for real-time monitoring and forecasting of sugarcane ripening
(España) Samuel Daniel Lup Haruta, et al –
Sectoral collaboration for technological sustainability: The GNSS RTK network in the sugar agro-industry
(Colombia) Jaime Hernán Caicedo Angel, et al.