409 Management System by Satellite Images for Guava (Psidium guajava L.) Orchards on Yield Estimates Based on the Characterization of Guava Trees by Phenotypic Stage V.M. Rodríguez-Moreno and J.S. Padilla-Ramírez INIFAP-Campo Experimental Pabellón Apdo. Postal 20 Pabellón de Arteaga, Aguascalientes, C.P. 20660 Mexico Keywords: field data, GIS, remote sensing, management system, production volume Abstract The management system which is based on handling GIS database files and remotely sensed imageries on Geographical Information System (GIS) environment is an essential tool to guide and regulate the production systems and marketing activities of product chains. In the case of guava, the management system has to be fed with a specific and structured field database and its metadata to verify the phenotypic status of guava trees and to characterize the production system applied by the producer in agronomic terms (coordinate data, planting frame, vigor, health etc). This data is use- ful to determine agronomic conditions to be incorporated as a field test in a supervised classification process on SPOT satellite images (PAN and MS) which is used as a mean to scale the punctual field observation data. As a numerical value, the raster structure of satellite images and the numeric value for each cell represents guava photosynthetic activity rate. Along with this, the isolation of guava’s phenotypic signature in DN units will feed the supervised classification procedure allowing the user to generate thematic maps per class. On GIS environment, a multi-assessment analysis is applied in order to assign a weight to each component on the project. The analysis is based on spatial analysis vicinity functions applied to guava orchard locations, proximity to collecting centers, roads, and highways. The visual immediacy on thematic maps will allow the decision makers to implement their own criteria analysis to plan the market destina- tion of guava production volume weeks after harvest (fresh market or industry) in Calvillo County. INTRODUCTION In recent years, decision makers following up agricultural statistics have started to apply management systems based on SPOT satellite images on a Geographical Information System (GIS) environment. Remote sensing plays an important role as auxiliary variable in the production of agricultural statistics (Carfagna, 1999). The management systems provide a general tool in industrial countries such as France, Italy, Germany, or the United States. Remote sensing images have increasingly been used to generate the necessary up-to-date, accurate, and synoptic information for the geo- referenced database files on crops and vegetation. Mexico, together with Brazil and India, is the biggest producer world-wide of guava (Psidium guajava L.). The guava production system is highly important for the municipality of Calvillo in the Mexican State of Aguascalientes owing to the 6,500 ha of established guava orchards in this region. Also, with respect to production considering the ratio of planted area to yield (with a mean of 13.5 t/ha), the Calvillo region occupies the first place in Mexico. Most of the orchards were established on hills with a slope ranking between 10-15% such that mechanical maneuvers are difficult to perform. Thus, all the handling-involving production system has to be done by hand, and this is why many people have a remunerated job all year. Due to its agro-climatic and soil characteristics, the municipality of Calvillo adds to the guava fruit a special taste and flavor which is distinctly different from guava fruits produced in other regions of Mexico. For its importance in social and economic terms, the guava production system provides an example on how management systems might be useful to follow-up the dynamics of Proc. II nd IS on Guava and other Myrtaceae Eds.: W. Rohde and G. Fermin Acta Hort. 849, ISHS 2010