Abstract This paper presents a weed/crop classifica-tion method using computer vision and morphologi-cal analysis. Subsequent supervised and unsupervised learning methods are applied to extract dominant mor-phological characteristics of weeds present in corn and soybean fields. The novelty of the presented technique resides in the feature extraction process that is based on spatial localization of vegetation in fields. Features from the weed leaf area distribution are extracted from the cultivation inter-rows, then features from the crop are inferred from the mixture model equation. Those extracted features are then passed to a naive bayesian classifier and a gaussian mixture clustering algorithm to discriminate weed from crop plant. The pr...
Weeds are unwanted plants that grow among crops. These weeds can significantly reduce the yield and ...
Weed detection and classification are considered one of the most vital tools in identifying and reco...
International audienceIn order to alleviate the difficulties in collecting indexes for the analysis ...
Master of ScienceDepartment of Computer ScienceWilliam H. HsuThis thesis addresses the tasks of dete...
Abstract: One of the objectives of precision agriculture is to minimize the volume of herbicides t...
Development of an autonomous weeding machine requires a vision system capable of detecting and locat...
Abstract – One important objective in Precision Agriculture is to minimize the volume of herbicides ...
This dissertation describes a combined statistical-soft computing approach for classifying and mappi...
The corn crop is very important in Mexico. Corn is fertilized manually or with machinery. When ferti...
Development of an autonomous weeding machine requires a vision system capable of detecting and locat...
One important goal of future crop production is to reduce the usage of herbicides. In many circumsta...
Accurate crop and weed discrimination plays a critical role in addressing the challenges of weed man...
This thesis was motivated by the use of machine vision and artificial intelligence in agricultural r...
In agriculture, reducing herbicide use is a challenge to reduce health and environmental risks while...
International audienceIn agriculture, reducing herbicide use is a challenge to reduce health and env...
Weeds are unwanted plants that grow among crops. These weeds can significantly reduce the yield and ...
Weed detection and classification are considered one of the most vital tools in identifying and reco...
International audienceIn order to alleviate the difficulties in collecting indexes for the analysis ...
Master of ScienceDepartment of Computer ScienceWilliam H. HsuThis thesis addresses the tasks of dete...
Abstract: One of the objectives of precision agriculture is to minimize the volume of herbicides t...
Development of an autonomous weeding machine requires a vision system capable of detecting and locat...
Abstract – One important objective in Precision Agriculture is to minimize the volume of herbicides ...
This dissertation describes a combined statistical-soft computing approach for classifying and mappi...
The corn crop is very important in Mexico. Corn is fertilized manually or with machinery. When ferti...
Development of an autonomous weeding machine requires a vision system capable of detecting and locat...
One important goal of future crop production is to reduce the usage of herbicides. In many circumsta...
Accurate crop and weed discrimination plays a critical role in addressing the challenges of weed man...
This thesis was motivated by the use of machine vision and artificial intelligence in agricultural r...
In agriculture, reducing herbicide use is a challenge to reduce health and environmental risks while...
International audienceIn agriculture, reducing herbicide use is a challenge to reduce health and env...
Weeds are unwanted plants that grow among crops. These weeds can significantly reduce the yield and ...
Weed detection and classification are considered one of the most vital tools in identifying and reco...
International audienceIn order to alleviate the difficulties in collecting indexes for the analysis ...