Low-Complexity Microclimate Classification in Smart Greenhouses: A Fuzzy-Neural Approach

Cristian Bua, Francesco Fiorini, Michele Pagano (), Davide Adami and Stefano Giordano
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Cristian Bua: Department of Information Engineering, University of Pisa, Via G. Caruso, 16, 56122 Pisa, Italy
Francesco Fiorini: Department of Information Engineering, University of Pisa, Via G. Caruso, 16, 56122 Pisa, Italy
Michele Pagano: Department of Information Engineering, University of Pisa, Via G. Caruso, 16, 56122 Pisa, Italy
Davide Adami: Department of Information Engineering, CNIT—University of Pisa, Via G. Caruso 16, 56122 Pisa, Italy
Stefano Giordano: Department of Information Engineering, University of Pisa, Via G. Caruso, 16, 56122 Pisa, Italy

Future Internet, 2025, vol. 17, issue 5, 1-16

Abstract: Maintaining optimal microclimatic conditions within greenhouses represents a significant challenge in modern agricultural contexts, where prediction systems play a crucial role in regulating temperature and humidity, thereby enabling timely interventions to prevent plant diseases or adverse growth conditions. In this work, we propose a novel approach which integrates a cascaded Feed-Forward Neural Network (FFNN) with the Granular Computing paradigm to achieve accurate microclimate forecasting and reduced computational complexity. The experimental results demonstrate that the accuracy of our approach is the same as that of the FFNN-based approach but the complexity is reduced, making this solution particularly well suited for deployment on edge devices with limited computational capabilities. Our innovative approach has been validated using a real-world dataset collected from four greenhouses and integrated into a distributed network architecture. This setup supports the execution of predictive models both on sensors deployed within the greenhouse and at the network edge, where more computationally intensive models can be utilized to enhance decision-making accuracy.

Keywords: neural network; fuzzy set; granular computing; microclimate classification; complexity reduction; smart agriculture; distributed computing (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2025
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