Sugarcane companies face challenges in optimizing their harvest timing, as a critical date exists where harvesting achieves maximum efficiency. Missing this date by even a few days can lead to substantial revenue losses. Traditional wet chemistry analyses of limited stalk samples lack representativeness, leading to suboptimal decisions. Industry 4.0T promotes the integration of advanced technologies such as NIR, internet connectivity (IoT) and the processing of data in cloud base type solutions to transform the way sugarcane industry operates, evaluates and produce sugar.
The sugarcane sector in the Cauca River Valley, Colombia, is strongly influenced by high soil variability and the presence of El Niño-La Niña climatic phenomena. Due to this, it is necessary to establish crop management strategies that ensure stable production.
A significant problem in in vitro culture is endogenous contamination (viruses, viroids, bacteria, fungi or yeasts inside cells, in intercellular spaces or vascular bundles) since they cannot be eliminated by chemical disinfection before micropropagation.
This field study assessed the impact of sugarcane ratoon stunting disease (RSD) infection on yield indicators of commercial varieties in Jujuy and Salta. Yield indicators were measured in randomly selected stems sampled from paired plots from a field trial previously planted with clean and RSD-infected seed cane of different disease intensities
The Sugarcane Breeding Program (SCBP) of Estación Experimental Agroindustrial Obispo Colombres (EEAOC) focuses on the development of cultivars with broad adaptation to different environments in the sugarcane-growing area of Tucumán, Argentina. Different biometric approaches, both parametric and non-parametric, allow for a combined analysis of the performance and stability of a cultivar.