Economic evaluation of precision controlled traffic farming in the Australian sugar industry: a case study of an early adopter
Data(s) |
2008
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Resumo |
Controlled traffic has been identified as the most practical method of reducing compaction-related soil structural degradation in the Australian sugarcane industry. GPS auto-steer systems are required to maximize this potential. Unfortunately there is a perception that little economic gain will result from investing in this technology. Regardless, a number of growers have made the investment and are reaping substantial economic and lifestyle rewards. In this paper we assess the cost effectiveness of installing GPS guidance and using it to implement Precision Controlled Traffic Farming (PCTF) based on the experience of an early adopter. The Farm Economic Analysis Tool (FEAT) model was used with data provided by the grower to demonstrate the benefits of implementing PCTF. The results clearly show that a farming system based on PCTF and the minimum tillage improved farm gross margin by 11.8% and reduced fuel usage by 58%, compared to producers' traditional practice. PCTF and minimum tillage provide sugar producers with a tool to manage the price cost squeeze at a time of low sugar prices. These data provide producers with the evidence that investment in PCTF is economically prudent. |
Formato |
application/pdf |
Identificador |
Halpin, N.V. and Cameron, T. and Russo, P.F. (2008) Economic evaluation of precision controlled traffic farming in the Australian sugar industry: a case study of an early adopter. In: Proceedings of the 30th Conference of the Australian Society of Sugar Cane Technologists, 29 April - 2 May 2008., Townsville, Queensland, Australia. |
Publicador |
Australian Society of Sugar Cane Technologists |
Relação |
http://era.daf.qld.gov.au/3497/1/PCTF_07__Final_Halpin-sec.pdf http://era.daf.qld.gov.au/3497/ |
Palavras-Chave | #Sugar plants, Includes sugar cane, sorgo, maple, palms etc #Soil and crops. Soil-plant relationships. Soil productivity #Farm economics. Farm management. Agricultural mathematics |
Tipo |
Conference or Workshop Item PeerReviewed |