Agricultural Engineering Papers
A deep-learning approach for in-field estimation of sugarcane weight- A digital methodology for soil mapping and assessment to calculate the organic carbon reserve
- A guide to efficient field designs to maximize sugarcane crop productivity
- A SAFER model for accurately estimating actual evapotranspiration in sugarcane using Sentinel-2
- Actual harvester extractor cane loss: the elephant we can no longer ignore
- Challenges farmers face in farming with data
- Chopping quality in harvesting: its relationship with sucrose loss and operational efficiency
- Data-driven agricultural management and technology use for risk assessment in sugarcane crop management
- Effect of soil-tillage practices on water use in irrigated sugarcane cultivation
- Integration of multispectral and SAR data with machine-learning algorithms for real-time monitoring and forecasting of sugarcane ripening