Sugar Tech

Papers
(The H4-Index of Sugar Tech is 16. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)
ArticleCitations
Population Dynamics and Estimation of Damage of the Spittlebug Aeneolamia varia on Sugarcane in Colombia by Using remote Sensing and Machine Learning Tools44
Optimizing Irrigation Water Scheduling of Sugarcane Planted Under Furrow Method with Trash Mulch Combinations for Enhancing Cane Productivity and Water Use Efficiency42
Promoting Adoption of Soil Health Related Regenerative Agriculture Practices Amongst Small-Scale Sugarcane Grower Communities in South Africa31
Potential for Sugarcane Production Under Current and Future Climates in South Africa: Sugar and Ethanol Yields, and Crop Water Use28
Putative Antagonistic Effects of Mycorrhiza Waitea circinata Against Colletotrichum falcatum Causing Agent Red Rot in Sugarcane21
Development and Application of a Method to Enhance Lipase Performance and Wastewater Treatment Capacity Using DES20
Determining Mishmi Hills Farmers Participation in Enhancing Sugarcane Production for Sustainable Livelihood Using PLS-Structural Equation Modeling20
Sustainable Production and Comparative Liquid Phase Exfoliation of Onion Peel-Doped Sugarcane Bagasse Hybrid Biochar18
Quality of Bioethanol Produced from Concentrated Fruit Waste Juice Augmented with Sorghum as Additional Fermentable Sugar18
Application of Thermal Imaging for Assessing Desiccation Stress Memory in Sugarcane and Sorghum Cultivars18
Microbial Fuel Cells Powered by Sugarcane Extract-Organic Substrate for Synergetic Bioremediation of Toxic Heavy Metals and Bioelectricity Generation18
Spatial Modeling of Sugarcane Yield Using Machine Learning Approaches18
Response of Photosynthetic and Root Traits of Sugarcane Genotypes Under Drought and Recovery Conditions17
Tractor-Operated Multi-Tasking Equipment for Mechanizing Multiple Operations in Sugarcane Cultivation17
Machine Learning Enables Genomic Prediction of Resistance to Sugarcane (Saccharum spp. Hybrids) Diseases in Louisiana16
Neodymium Stimulates Growth, Nutrient Concentration, and Metabolism in Sugarcane in Hydroponics16
Critical Issues and Challenges in Sugarcane Supply Chain Management: A Global Perspective16
Second-Generation Ethanol from Sugarcane Fertilized with Biosolid and Commercial Fertilization16
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