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Evaluating remote sensing technologies for improved yield forecasting and for the measurement of foliar nitrogen concentration in sugarcane

An analysis of time series Landsat imagery acquired over the Bundaberg region between 2010 and 2015 identified variations in annual crop vigour trends, as determined by greenness normalised difference vegetation index (GNDVI). On average, early to mid-April was...

A statistical approach for identifying important climatic influences on sugarcane yields

Interannual climate variability impacts sugarcane yields. Local climate data such as daily rainfall, temperature and radiation were used to describe yields collected from three locations-Victoria sugar mill (1951-1999), Bundaberg averaged across all mills (1951-2010)...

Mapping canegrub damage from high spatial resolution satellite imagery

Canegrubs feed on the roots of sugarcane plants, reducing plant vigour and yield, and if left untreated within a growing season they have the potential to rapidly increase the impacted area in the following year. For the targeted control of the canegrub, it is...

Developing sugar cane yield prediction algorithms from satellite imagery

The research presented in this paper discusses the accuracies of remote sensing and GIS as yield prediction tools at both a regional and crop scale over three Australian cane growing regions; Bundaberg, Burdekin and the Herbert. For the Burdekin region, the prediction...

Paddock and regional scale yield prediction of cane using satellite imagery (poster paper)

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ASSCT is a leading technical society which provides a forum for scientists, engineers, chemists, institutions, farmers, companies and individuals interested in sugar cane technology to publish and discuss current developments as well as researching recorded technology.

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