Search Results for "orangefox-land"

We have applied a deep learning approach to accurately detect, count and analyze wheat spikes for yield estimation. We have tested the approach on a set of images of wheat field trial comprising 10 varieties subjected to three fertilizer treatments. The images have been captured over one season, using high definition RGB cameras mounted on a land-based imaging platform, and viewing the wheat plots from an oblique angle. A subset of in-field images has been accurately labeled by manually...

Socialscape is a tool for modeling artificial societies. Multiple agents move on a grid and interact with each other. Agents create value only by interacting with other agents, unlike “Sugarscape”, where agents get goods from the land.

RegMAS (Regional Multi Agent Simulator) is a spatially explicit multi-agent model framework, developed in C++ language and designed for long-term simulations of effects of government policies over agricultural systems (farm sizes, incomes, land use..).

Oziac is an experiment to describe an existing fantasy world (the land of OZ created by L. Frank Baum) and implement it as a virtual world. Originally we will comment the books with CycL, and then use the CycL as input to a programmable VR system.

Land Mines detection using Image Processing