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Book Sections Year : 2023

Deep Learning-Based Prediction Model of Fruit Growth Dynamics in Apple

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Abstract

Many factors are affecting the fruit growth dynamics of fruit trees. The vapour pressure deficit (VPD), the measure of the drying power of the air, integrates temperature and air humidity data, is one of the crucial factors affecting this process. In the current study carried out in an apple orchard in southeastern France, fruit diameter and VPD values were recorded by a wireless sensor network. A regression model was created utilizing feed-forward learning and predicting algorithms. With the obtained model, the relationships between VPD and fruit growth can be computed. As an example, when we keep the humidity conditions constant and increase the temperature by 2 °C in the model, the fruit diameter decreases by 0.18%.
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Dates and versions

hal-03926536 , version 1 (06-01-2023)

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Cite

Hamit Armağan, Ersin Atay, Xavier Crété, Pierre-Eric P.-E. Lauri, Mevlüt Ersoy, et al.. Deep Learning-Based Prediction Model of Fruit Growth Dynamics in Apple. D. Jude Hemanth, Utku Kose, Junzo Watada, Bogdan Patrut. Smart Applications with Advanced Machine Learning and Human-Centred Problem Design, 1, Springer International Publishing, pp.367-373, 2023, Engineering Cyber-Physical Systems and Critical Infrastructures, ⟨10.1007/978-3-031-09753-9_26⟩. ⟨hal-03926536⟩
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