Oscar Javier Munar Vivas1, Sofía Pedraza Márquez1, Yolanda Rubiano Sanabría1, Sebastián Anderson Guerrero2 and Alexander Mauricio Caballero Rodríguez3 1Universidad Nacional de Colombia,...
Identifying and correcting deformed furrows are critical for optimizing water management and machinery performance in sugarcane cultivation, particularly in regions prone to flooding, such as the Cauca River Valley. Deformed furrows disrupt drainage, creating flood-prone areas that lead to crop losses and operational challenges, including potential damage to the basecutter of harvesters.
Accurate estimation of actual evapotranspiration (ETa) is essential for sustainable water management. This study was conducted from 2022 to 2024 in the Cauca River Valley of Colombia, over one sugarcane growing cycle, using Sentinel-2 satellite images to estimate ETa with the SAFER (Simple Algorithm for Evapotranspiration Retrieving) model.
Current fertiliser nitrogen (N) recommendations aim to provide near maximum yields, rather than optimal revenue returns. However, recent surges in fertiliser prices resulted in many growers seeking short-term advice on reducing N-rates without compromising profitability.
Since mechanised harvesting of sugarcane became established in the 1970s, farmers, manufacturers and researchers have been attempting to improve harvester performance and optimise harvest efficiency. The move to green-cane harvesting and the introduction of pneumatic extractor systems on sugarcane harvesters both increased cane loss significantly.
Sunil G Dalvi and Ashok D Kadlag Vasantdada Sugar Institute, Manjari (Bk), Pune, Maharashtra, India Sugarcane, a vital sugar and biofuel production...
Sugarcane is a fundamental C4 crop in many regions of the world, valued not only for its economic contribution but also for its significance in biofuel production and other derivatives. This crop encounters considerable challenges stemming from climate variability, which adversely impacts both its productivity and yield.
This study aimed to improve the efficiency of sugarcane harvesting at Ingenio Pichichí, maximizing the production of biomass and sucrose while optimizing operational costs and minimizing risks associated with climate and soil variables. The NAX platform was used with satellite imagery and generative algorithms to optimally select harvest plots based on the available biomass and sucrose content.
Weeds present a significant challenge to agricultural production, particularly in extensive crops like sugarcane. Effective weed management requires sampling methods that yield representative data on weed abundance and distribution. This study compares two sampling methods, diagonal and zigzag, based on population variables of diversity and abundance of weeds in sugarcane fields, using functional groups to classify species.
Sugarcane is an economic pillar of Réunion, and improving the productivity of the 20 000 ha of sugarcane is a major challenge for this community. Optimising the fertilisation practices is a way to improve this productivity. However, the farming sector is dependent of imported mineral fertilisers, and recent price increases and availability issues question this dependence.