Agricultural Engineering Papers
Performance of the chopper system with different numbers of blades based on the quality of the raw material delivered to the factory
Last Updated: junio 19, 2025José Giraldodo1, Juan Rosero1, Samuel Galeano2, Henrry Tarapues2 and Alejandro Estrada2 1Ingenio Cauca S.A.S., INCAUCA, El Ortigal, Cauca, Colombia Colombian Sugarcane Research...
Potential for the use of machine learning in sugarcane production in Thailand: a review
Last Updated: junio 19, 2025Even though sugarcane is a major agricultural crop in Thailand, Thai sugarcane growers have recently endured high production costs with reduced income. For this reason, there have been many studies to assist farmers to achieve greater efficiencies on-farm. Recently, unmanned aerial vehicle (UAV) technology and machine learning (ML) have been introduced into agriculture.
Quality of mechanized harvesting in the Cauca River Valley
Last Updated: junio 19, 2025Samuel Galeano, Henrry Tarapues and Alejandro EstradaColombian Sugarcane Research Center (CENICAÑA), Experimental Station, Cali-Florida Highway Km 26, Valle del Cauca, Colombia The...
Relationship between sugarcane area zoning by production levels and soil fertility in Tucumán province, Argentina, using geotechnologies
Last Updated: junio 19, 2025Soil fertility maps enable the detection of areas with different nutrient levels, and identifying environments with varying production levels contributes to zoning and the management of practices that allow for the differential treatment of each zone.
Sectoral collaboration for technological sustainability: The GNSS RTK network in the sugar agro-industry
Last Updated: junio 19, 2025Precision agriculture has transformed the agricultural sector, especially in sugarcane farming, by increasing its efficiency and productivity using self-guided machinery, RTK drones, and robots, However, factors such as uncontrolled traffic, diversity of machinery brands, and differences in instrumentation among machines, alongside with the high cost of RTK mobile stations and the lack of standardization in correction signals, have hindered a widespread adoption of this technology.
Use of Synthetic Aperture Radar images to assess soil moisture in cane crops: practical implications in agricultural operation
Last Updated: junio 19, 2025The capability of Synthetic Aperture Radar (SAR) technology to estimate soil moisture in sugarcane crops in the Cauca River Valley was evaluated. Given its ability to provide a detailed view of the land surface, SAR emerges as a promising tool for monitoring soil moisture, a critical factor for agriculture.