CVNE 2011 - Workshop on Computer Vision in Natural Environments: agriculture and forestry (CVNE)

The purpose of this edition is to provide a discussion forum on the most recent and innovative works in the area of computer vision applied to agricultural and forestry images. Both academic researchers and industry practitioners are welcome to a forum where the focus will be on discussion and exchange of ideas.

Sensors in agriculture and forestry play an important role today. In agriculture and silviculture, as a branch of forestry, the need for increasing the production and simultaneously the efforts for minimizing the environmental impact and for saving costs make the sensor systems the best allied tool. The use of sensors helps to exploit all available resources appropriately and to apply hazardous products moderately. When nutrients in the soil, humidity, solar radiation, density of weeds and all factors affecting the production are known, this gets better and the use of chemical products such as fertilizers, herbicides and other pollution products can be reduced considerably. These activities fall inside the emerging area known as Precision Agriculture. In forest management, which can be considered a branch of forestry, a lot of number of activities is oriented towards wood production or forest inventories with the aims of controlling parameters of interest such as diameter of trees, height, crown height, bark thickness and other variables, such as canopy, humidity, illumination, CO2 transformation, where the social acceptation is of interest.

For this task is required the use of sensors and in particular those that can acquire two-dimensional information, such as cameras that work well in the range of visible and infrared. The amount of work that can be found in prestigious scientific publications in recent years supports the importance and the difficulty of dealing with this type of information (images).
http://www.dacya.ucm.es/cvne2011/
AIMS

The aims of CVNE are:
To facilitate the dynamic development of communities around specific areas of strategic importance for Computer Vision in perception systems, enabling them to share common problems, issues and results.
Computer Vision is a fundamental area of research in Artificial Intelligence. The topic attracts much attention as shown by the relevance of conferences and its continuous presence in prestigious conferences and journals. Today, image processing in natural environments is becoming increasingly necessary, both in precision agriculture and in forest environments.