Through a public tender, the Center for Mathematical Modeling was awarded with the project “Development of algorithms and interpretation of satellite imagery to build a predictive model of horticultural crops destined for agribusiness,” commissioned by the Instituto de Investigaciones Agropecuarias, INIA.
The objective of this initiative is to use satellite images of high spatial resolution and weather and fields information, to predict parameters of agricultural crops. This prediction will provide, among others, the logistics associated with the production processes of the main areas of agro-industrial center of the country.
INIA's motivation for ordering a project like this is explained in part in one of the paragraphs of the tender: “With a good prediction of harvest, can coordinate efforts of manpower, supplies and transportation associated with each item. At the same time, knowing the quality of the product, it can be determined both the destination of each product as the market and final merchandising of the produce.
The project will be carried out by researchers of the Laboratory of Modeling in Scientific Imaging and Visualization (MOTIV) of CMM and will last two years. During this period models for predicting the performance, quality and date of harvest will be developed.
“In addition, we will implement a web platform with which you can access information about each property, display the location map, as well as the results of prediction models, in other words what will be the yield per hectare, its quality and on what date will be ready for harvest, “explained the engineer Fernando Padilla, director of the project.
