Abstract
This project will develop models that will evaluate risk to agricultural products from textual sources. This information can be added to a 'local view' generated from sensors and other information sources located at the farm, to allow farm managers to make optimal decisions.This project will create graph based models from text. The models will not be for a single crop or agricultural prod…
Agricultural risk models from information in text, AP.PIPE

Scholarships in Brazil

Completed (most recent)

Agricultural risk models from information in text, BP.PIPE
Abstract
Textual information can contain timely information which can aid business decisions. Textual sources can represent information which is difficult to represent in other formats. This information can be difficult to interpret because: 1. natural language can be ambiguous or contradictory, 2. natural language can contain: euphemisms and invented language and 3. single concepts can be represe…
Induction of Topic-Based Bayesian Networks from Text for the Prediction of Sugar Cane Yields, BP.PD

FAPESP support in numbers * Updated October 12, 2024

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