Crop Health Analysis using MATLAB

Identifying crops is crucial for some of the reasons. Crop maps which may be of any type are generated by national or multinational agencies of agriculture, insurance and regional agricultural councils to plan and prepare an inventory of grown crops in various regions. This is effective for the purpose of forecast of grain supplies, collection of crop production statistics, facilitation of crop rotation, soil production mapping, assessment of crop damaged because of storms and other natural hazards and to monitor farm activities. Important activities include identification of the type of crop. Old techniques to obtain this information are ground surveying and census. In order to make standardize measurements however, especially for multinational agencies, remote sensing can provide data collection and information of strategies. Use of remote sensing will offer an effective and dependable means of acquiring the required information, to order map crop type. Remote sensing and loading images from MATLAB database and then segmenting it can provide structure information about the health of the vegetation. Accuracy, defected area, enhanced area cluster are analyzed in this paper.