Agriculture satellite image segmentation using a modified artificial Hopfield neural network

作者：

Highlights：

• Determine real bee forage areas characteristics on satellite image segmentation.

• Population density, ecological distribution, flowering phenology are determined.

• Agriculture satellite image segmentation.

• Hopfield artificial neural network model for optimization of segmentation error.

• Beekeepers will be guided about actual bee forage areas specific characteristics.

摘要

•Determine real bee forage areas characteristics on satellite image segmentation.•Population density, ecological distribution, flowering phenology are determined.•Agriculture satellite image segmentation.•Hopfield artificial neural network model for optimization of segmentation error.•Beekeepers will be guided about actual bee forage areas specific characteristics.

论文关键词：Beekeeping,Hopfield neural network,Satellite image segmentation,Pixel clustering

论文评审过程：Available online 8 July 2013.

论文官网地址：https://doi.org/10.1016/j.chb.2013.06.025