This paper presents a methodology to recognize certain crop fields’ images using texture, color and combination of both types of features. In this work, we have considered eight varieties of crop images, namely, Brinjal, Cotton, Groundnut, Paddy, Soyabean, Sugarcane and Sunflower. Texture features using GLCM and color features using HSV are deployed. Artificial Neural Network (ANN) is used for ...

This study concerns the detection and localization of weed patches in order to improve the knowledge on weed-crop competition. A remote control aircraft provided with a camera allowed to obtain low cost and repetitive information. Different processings were involved to detect weed patches using spatial then spectral methods. First, a shift of colorimetric base allowed to separate the soil and p...

A multi-spectral imaging system for use on agricultural aircraft was developed and tested to provide images of fields and help farmers and crop consultants manage agricultural lands. The results of this research indicate that the airborne MS4100 multi-spectral imaging system has a great potential for use in areawide pest management systems, such as weed control or detection of insect damage. Mu...

N nutrition is one of the most important limitation factors for crop growth and yield. Precise and timely monitoring and detection of crop N nutrient conditions is necessary for improving the efficiency of N nutrition using and crop management, reducing environmental pollution caused by over nitrogen fertilizer application. In this paper the canopy reflectance spectra during the whole growth pe...

The main objective of this project is fake currency detection using the image processing. Fake currency detection is a process of finding the forgery currency. After choose the image apply preprocessing. In pre-processing the image to be crop, smooth and adjust. Convert the image into gray color. After conversion apply the image segmentation. The features are extracting and reduce. Finally comp...

Some characteristics of a microplate method for the detection and assay of plant viruses using enzyme-labelled antibodies are described. The method enabled the highly sensitive detection of a number of morphologically different viruses in purified preparations and in unclarified extracts of herbaceous hosts and of infected crop plants. Virus concentrations were estimated by photometric measurem...

This paper details the automatic recognition of diseases & diseased component found in plants leaf picture & also in farming Crop creation. It is completed with development of technology which assists in farming to boom manufacturing. Primarily there's accuracy detection issue in current NN technique. In this research proposal, we have discussed the various advantages and disadvantage of the pl...

1Graduate Fellow, Department of Agricultural Engineering, University of Illinois at Urbana Champaign, IL, USA. 2Professor, Department of Agricultural Engineering, University of Illinois at Urbana Champaign, IL, USA. 3Assistant Professor, Department of Agricultural Engineering, University of Illinois at Urbana Champaign, IL, USA. 4Professor, Departamento de Engenharia Agrícola, Universidade Fede...

Rural residents can be exposed to agricultural pesticides through the proximity of their homes to crop fields. Previously, we developed a method to create historical crop maps using a geographic information system. The aim of the present study was to determine whether crop maps are useful for predicting levels of crop herbicides in carpet dust samples from residences. From homes of participants...