期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2010
卷号：XXXVIII - Part 5
页码：5-10
出版社：Copernicus Publications
摘要：The excess in the applications of pesticides have a great negative impact on the environment, besides, when these pesticides are used inside the greenhouse, they might have an important repercussion on the health of the farmers. A pesticide application is ideal if the spraying coverage is presented as evenly distributed over the whole crop canopy and, if the product application is correctly adjusted for minimizing the losses towards the soil or the environment. It is proved that for a certain crop stage, there is an optimal volume of application. This ideal volume is related by the canopy Leaf Area Index (LAI), which is the ratio of total upper leaf surface of a crop divided by the surface area of the land on which the crop grows. In this work a predictive and empiric model regarding non destructive estimation of LAI has been generated. This model is based on the volume and density of tomato plants, i.e., LAI=function (Density, Volume). Volume was obtained first by close-range photogrammetry (Volume 'Real') which was used later to choose a manual method for measuring tomato bush volume which presents a better fitting to the 'real' volume. Plant densities were derived by digital image analysis. Finally, the LAI 'Real' was measured by a destructive method using a leaf area meter. The LAI empiric model presented a coefficient of determination close to 83 %
