ASSESSMENT OF WEED DENSITY AT AN EARLY-STAGE BY USE OF IMAGE-PROCESSING

Identification of plants against a soil background using colour images is discussed, and a technique is presented for finding plant segments consisting of crop or weed plants, or both. The problems of overlappi ng plants and image border effects are explored using techniques devel oped in stereology. An automatic weed density estimation method is pro posed, based on a non-linear regression model and features of the plan t segments in an image. The method is applied to a set of images from five barley fields. At present two features of the segments are used: segment area and whether a segment cuts the image border or not. Furth er, a method is suggested for evaluating the automatic weed density es timation by comparison with an interactive weed density estimator incl uding human judgement. Critical factors and ways of improving the auto matic method by including additional features are discussed.