Analysing the potential of ChatGPT to support plant disease risk forecasting systems

Analysing the potential of ChatGPT to support plant disease risk forecasting systems

This study explores the potential of two versions of the ChatGPT large language model (GPT-3.5 Turbo and GPT-4) in supporting plant disease risk forecasting through the translation of model-based predictions into advisory messages. A dataset of 3125 messages, each referred to an artificially generat...

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Bibliographic Details
Main Authors: Roberta Calone, Elisabetta Raparelli, Sofia Bajocco, Eugenio Rossi, Lorenzo Crecco, Danilo Morelli, Chiara Bassi, Rocchina Tiso, Riccardo Bugiani, Fabio Pietrangeli, Giovanna Cattaneo, Camilla Nigro, Marco Secondo Gerardi, Simone Bussotti, Angela Sanchioni, Danilo Tognetti, Mariangela Sandra, Irene De Lillo, Paolo Framarin, Sandra Di Ferdinando, Simone Bregaglio
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Smart Agricultural Technology
Subjects:
Large Language Models
Integrated Pest Management
Advisory Messages
Stakeholders Engagement
Lexical Analysis
Sentiment Analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375525000589
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http://www.sciencedirect.com/science/article/pii/S2772375525000589

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