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2509 12363 Enhancing Smart Farming Through Federated Learning

https://arxiv.org › abs
The agricultural sector is undergoing a transformation with the integration of advanced technologies particularly in data driven decision making This work proposes a federated learning

A Comprehensive Overview Of Federated Learning For NextGeneration

https://www.informatica.si › index.php › informatica › article › view
Abstract Federated Learning FL is an emerging technique that offers significant potential to enhance smart agriculture by enabling collaborative model training across distributed

Integrating Federated Learning And Explainable AI For Plant Disease

https://link.springer.com › article
Motivated by the escalating demand for transparent and privacy preserving AI solutions this review is motivated by the need to improve early disease detection in plants and crops through

Federated Learning Approaches In Precision Agriculture A

https://ieeexplore.ieee.org › document
The rapid expansion of digital agriculture driven by sensors drones IoT devices and remote sensing technologies has generated unprecedented volumes of farm level data intensifying concerns

Performance Guided Aggregation For Federated Crop Disease Detection

https://www.mdpi.com
A region aware federated learning framework RAFL is proposed to address the non IID heterogeneity in multi regional crop disease recognition while reducing communication and

Agricultural Data Privacy And Federated Learning A Review Of

https://zenodo.org › records
This review explores the use of Federated Learning in agriculture focusing on privacy preserving methods We thoroughly reviewed a large corpus of relevant research examining several

Integrating Federated Learning And Explainable AI For Plant Disease

https://doaj.org › article
Emerging directions include lightweight edge architectures domain adaptation and unified explainable federated frameworks Overall this review identifies FL and XAI as complementary drivers of

Federated Learning With Dynamic Weighted Aggregation For Frontiers

https://www.frontiersin.org › journals › artificial-intelligence › articles › frai...
Introduction Implementing AI based crop disease detection in real world agriculture has two major concerns privacy and data heterogeneity Farmers are not willing to share their raw

Federated AI Could Transform Global Farming Practices

https://www.devdiscourse.com › article › technology
Agriculture may soon see a radical shift in how farms detect diseases and predict yields thanks to artificial intelligence systems designed to protect sensitive data while enabling

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