Development of climate-based innovation solutions for a resilient and sustainable sugarcane industry
(Colombia) Hector Alberto Chica Ramirez, et al –
A successful peace and sustainability laboratory in the Colombian sugarcane agroindustry (dialogue with ethnic and rural communities)
(Colombia) Juan Pablo Coral, 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 –
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 –
A machine-learning approach for estimating mineral trash in sugarcane processing through turbidity measurements
(Colombia) Julián David Montes Posso, et al.
A digital methodology for soil mapping and assessment to calculate the organic carbon reserve
(Colombia) Oscar Javier Munar Vivas, et al.
Potential for the use of machine learning in sugarcane production in Thailand: a review
(Thailand) Somwang Leekar, et al
Sectoral collaboration for technological sustainability: The GNSS RTK network in the sugar agro-industry
(Colombia) Jaime Hernán Caicedo Angel, et al.