Review of mechanical sugarcane harvesters: Performance, efficiency and crop suitability
J B Limna, P Kamaraj, S Thambidurai, R Thiyagarajan, Senjeriputhur Devaraj Sivakumar, M. Kathiravan
Tamil Nadu Agricultural University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
Mechanical sugarcane harvesting has become essential to modern agriculture, helping farmers overcome labour shortages while improving efficiency and productivity. The performance of these machines is influenced by several factors, including the characteristics of the crop, the terrain and how well the equipment is operated. A comparison between whole-stalk and chopper harvesters highlights key differences in throughput capacity, energy use and adaptability to different field conditions. Chopper harvesters, for example, can process up to 132.7 tons of sugarcane per hour under ideal conditions but tend to lose efficiency when faced with uneven terrain or more complex crop varieties. This study explores mechanical sugarcane harvesting systems' efficiency, adaptability and economic feasibility while identifying key operational and technological challenges. Advances in harvesting technology, such as precision cutting mechanisms, optimized field logistics and the breeding of sugarcane varieties designed for mechanization, have helped to improve efficiency while reducing environmental impact. However, the high cost of these machines remains a significant hurdle, especially for small-scale farmers. Making shared ownership arrangements, government subsidies and the development of cost-effective semi-mechanized alternatives are viable solutions. To fully optimize mechanical harvesting, an integrated approach is necessary. This includes leveraging technology, improving field management practices and offering specialized training programs. These efforts are essential for making sugarcane farming more sustainable, maximizing yields and ensuring long-term economic viability for farmers.
逐年被引趋势
暂无年度引用数据
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
工程Agricultural Engineering and Mechanization
Sugarcane Cultivation and Processing · Soil Management and Crop Yield