Abstract
This study presents a detailed dataset on the growth responses of 80 young olive trees from three varieties: Haouzia and Menara (Moroccan) and Languedoc (French), under varying levels of water stress. The experiment was organised into eight groups: four experimental (A1, B1, C1, D1) and four control (A2, B2, C2, D2), with each group comprising 10 olive trees (4 Languedoc, 3 Menara, and 3 Haouzia). The olive trees were subjected to four distinct irrigation regimes, with groups A1 and A2 receiving 100 % of the water requirement, groups B1 and B2 receiving 50 %, groups C1 and C2 receiving 25 %, and groups D1 and D2 receiving no irrigation (0 %). Weekly data collection included trunk diameter, tree height, number of branches, SPAD values, leaf temperature, canopy cover, and individual tree images. This dataset offers valuable information for prospective researchers working on the impacts of drought stress on different varieties of olive trees, facilitating comparative analysis at varying stress levels. It is also useful for farmers, providing insights that can help optimize irrigation strategies and improve drought resilience in olive tree cultivation. The dataset can also be used to develop predictive artificial intelligence models for monitoring and analyzing drought stress in olive trees.
| Original language | English |
|---|---|
| Article number | 112026 |
| Journal | Data in Brief |
| Volume | 62 |
| DOIs | |
| State | Published - 1 Oct 2025 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 2 Zero Hunger
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SDG 6 Clean Water and Sanitation
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SDG 13 Climate Action
Keywords
- Climate change
- Dataset
- Drought stress
- Growth response
- Irrigation
- Olive trees
- Precision agriculture
ASJC Scopus subject areas
- General
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