Exploring foci of
2023-06-28
Federated Learning: Crop classification in a smart farm decentralised network
2023-06-28 • Godwin Idoje, Tasos Dagiuklas, Muddesar Iqbal
In this paper, the application of federated learning to smart farming has been investigated. The Federated averaging model has been used to carry out crop classification using climatic parameters as independent variables and crop types as labels. The decentralised machine learning models have been used to predict chickpea crops. Through experimentation, it has been observed the model converges when learning rates of 0.001 and 0.01 are considered using the Stochastic gradient descent (SGD) and the Adam optimizers. …
Outline Of Machine Learning
Online Machine Learning
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Cover Crop
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Quantum Machine Learning
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Exploring foci of
2023-03-07
Comparative analysis of data using machine learning algorithms: A hydroponics system use case
2023-03-07 • Godwin Idoje, Christos Mouroutoglou, Tasos Dagiuklas, Anastasios Kotsiras, Muddesar Iqbal, Panagiotis Alefragkis
This paper makes a comparison of machine learning algorithms for the analysis of four hydroponic datasets. Data have been gathered daily from hydroponic systems to predict the output of the hydroponic systems. This research compares the performance of the federated split Learning, Deep neural network, extreme Gradient Boosting (XGBoost), and Linear regression algorithms on four different hydroponic systems. These algorithms have been used to analyze the datasets of Nutrient Film Technic (NFT), Floating (FL), Aggre…
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