Physics-based simulation provides an accelerated and safe avenue for developing,
verifying, and testing robotic control algorithms and prototype designs. In the quest to …

Plant phenological development is orchestrated through subtle changes in photoperiod,
temperature, soil moisture and nutrient availability. Presently, the exact timing of plant …

Mobile phone cameras are often significantly more useful than professional digital single-
lens reflex (DSLR) cameras. Knowledge of the camera spectral sensitivity function is …

Small unmanned aircraft vehicles (UAV) are potential remote sensing platforms for precision
agriculture. However, to be useful for in-season management, nitrogen status needs to be …

Recent computer vision techniques based on convolutional neural networks (CNNs) are
considered state-of-the-art tools in weed mapping. However, their performance has been …

We quantify the generalization of a convolutional neural network (CNN) trained to identify
cars. First, we perform a series of experiments to train the network using one image dataset …

The original contribution of the present paper is to present a joint theoretical and
experimental approach to implement the modulated absorption/emission technique. Two …

Many creative ideas are being proposed for image sensor designs, and these may be useful
in applications ranging from consumer photography to computer vision. To understand and …

The convergence of spectroscopy and imaging technologies, emerge into a single sensing
technology ie, provides spatial and spectral information of the objects under investigation …

Image systems simulation software can accelerate innovation by reducing many of the time-
consuming and expensive steps in designing, building, and evaluating image systems. To …