Abstract
In recent years, farmers in India have expanded sugarcane cultivation at a notable compound growth rate, with the country contributing approximately 23.25% of the world’s total sugarcane production. Sugarcane output in India increased from 226 million tonnes to 280 million tonnes during the period 1999–2007 to 2007–2024, largely due to improvements in both the cultivated area and crop yield. During the same period, the area under sugarcane cultivation expanded from 3.4 million hectares to 3.9 million hectares. The average yield also showed a slight improvement, rising from 65.6 tonnes per hectare in 1999–2024 to 71.1 tonnes per hectare. In 1998–1999, the global figures for sugarcane cultivation recorded 4.1 million hectares of area, 296 million tonnes of production, and an average yield of 72.6 tonnes per hectare. Several factors influence sugarcane cultivation and its productivity. Tiruchirapalli district, which has traditionally held a significant position in sugarcane production, has the potential to further strengthen its performance. This study therefore examines the impact of various factors affecting sugarcane cultivation, particularly in relation to farmers’ characteristics and farming conditions. The main objective of this research is to evaluate the productivity efficiency of sugarcane cultivation in Tiruchirapalli District and to identify the key factors that influence production and yield. The study focuses on sugarcane cultivation in selected blocks of Tiruchirapalli District and is based primarily on secondary data. Information was collected regarding the area under cultivation, production levels, and yield of sugarcane in the district. Additionally, the study attempts to understand the socio-economic background of sugarcane farmers in the research area. Based on the findings, the study also proposes appropriate remedial measures to address the challenges faced in sugarcane cultivation in the district.
Keywords: Sugarcane, Growth Production, Productivity Efficiency
References
Abhi, M.R., Kumar, P. what's more, Mathur, V.C (1983) "Mechanical Change and Factor Shares in Cotton Production: A Case Study of Akola Cotton Farms", Indians Journal of Agricultural Economics, Vol. XXXVIII, No.3, July-September, 1983.
Akimi Fujimoto (1983) "Homestead Management Analysis of Malay and Chinese Rice Farming in Province of Wellesley, Malaysia", Journal of Developing Economics, Vol.XXI, No.1, March.
Ansari, A.A. what's more, Ismail, S.A(2008) "Paddy Cultivation In Sodic Soil Through Vermitech", International Journal of Sustainable Crop Production, Vol.3(5).
Arnold Zellner, (1962) "An Efficient Method of Estimating Seemingly Unrelated Regression and Test of Aggregation Bank, Journal of American Statistical Association, Vol.57, No.2.
Baigorria, G.A., Jones, J.W. what's more, O'Brien J.J. (2008). The potential consistency of product yield utilizing a gathering atmosphere gauge by a territorial flow demonstrates, Agricultural and Forest Meteorology, 148: 1353-1361.
Bajpai, P.K. furthermore, Venugopalan, R. (1996). Determining Sugarcane Production by Time Series Modeling. Ind. Jour. Sugarcane Tec., 11(1): 61-65.
Balakrishnan, M., Meena, K. Furthermore, Shanmugasundram, S. (2025). Fake Neural Networks (ANN) for an expectation of coconut yield. Measurements and Applications. 3(1 &2): 87-92.