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Crop Monitoring and Crop Yield Prediction Computerized Tools in Mexico

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Computers in Agriculture and Natural Resources, 4th World Congress Conference, Proceedings of the 24-26 July 2006 (Orlando, Florida USA) Publication Date 24 July 2006  701P0606.(doi:10.13031/2013.21854)
Authors:   Jesus Soria-Ruiz and Yolanda Fernandez-Ordonez
Keywords:   Crop monitoring, yield prediction, corn, agriculture, Mexico

Crop yield prediction is an information service provided by the National Institute Research for Forestry Agriculture and Livestock (INIFAP) to the Ministry of Agriculture in Mexico where it is used as a decision making aid. A comprehensive set of state of the art tools has been developed which is currently providing accurate results. The tools consist mainly of prediction models with input data taken on site at sample plots as well as remotely sensed data. The different levels of government agencies federal, state and municipal are already benefiting of timely information about the condition of agricultural crops, including the relationship with climatic effects and other potentially adverse factors and the impact on crop production. The general aims of this information service project are (a) the timely provision of information from the production plots as it relates to the general agricultural regional productivity and (b) to develop a decision support system of agricultural related activities to support government farmer aid programs. The benefits of this Project are: (a) timely response and reliability of the information, (b) reliable decision support, (c) more accurate and complete information, (d) production risk reductions, (e) savings of government funds due to a better definition of required import volumes for crops, (f) increased confidence concerning the requirements of import volumes, (g) increased efficiency in crop management and production, (h) availability of production volumes ahead of harvest.

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