We develop a Bayesian framework for sensing which adapts the sensing time and/or basis functions to the instantaneous sensing quality measured in terms of the expected posterior mean-squared error. For sparse Gaussian sources a significant reduction in average sensing time and/or mean-squared error is achieved in comparison to nonadaptive sensing. For compression ratio 3, a sparse 10% Gaussian ...

Much work has been done to employ machine vision technology to sense weeds in crop fields. However, the use of machine vision weed-sensing with real-time objectives under variable outdoor lighting conditions is a relatively new area. This paper documents an effort to develop real-time weed sensing technologies using machine vision under variable lighting conditions. Images were acquired of weed...

The preparation of vegetation cover maps by used the land inventory and a traditional method has a lot of cost and time. But today, remote sensing is one of the main sources of data collection and information production for study and monitoring land resources, and was efficient tools for providing quickly and timely data and information needs for program planning in the natural resource filed. ...

sensitive paper (Kodak Panalure) with the capillary at the centre. (i) and (ii) in Fig. 3 show the response of a water-filled, uncoated capillary under TE and TM illumination, adjusted to strike a broad range of angles and to highhght the region of the capillary response corresponding to reflections from the internal surface below the critical angle (30a to 90" in Fig. 3). As expected, TE refle...

The grey-brown alluvial soil is a typical soil in the Northern China. It was selected as research object to reveal feasibility and possibility of real-time analyzing soil parameter with NIR spectroscopic techniques. 150 samples were collected from a winter wheat farm. And then the NIR absorbance spectra were rapidly measured under the original conditions by a Nicolet Antaris FT-NIR analyzer. Th...