Publication Details |
| Category | Text Publication |
| Reference Category | Journals |
| DOI | 10.1016/j.atech.2024.100681 |
Licence  |
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| Title (Primary) | Daily light integral maps for agriculture lighting design in Spain |
| Author | Jung, A.; Szabó, D.; Varga, Z.; Lausch, A.; Vohland, M.; Sipos, L. |
| Source Titel | Smart Agricultural Technology |
| Year | 2024 |
| Department | CLE |
| Volume | 9 |
| Page From | art. 100681 |
| Language | englisch |
| Topic | T5 Future Landscapes |
| Keywords | DLI (Daily Light Integral); PAR (Photosynthetically Active Radiation); Mediterranean; DLI mapping workflow; natural and artificial lighting harmonisation |
| Abstract | The Daily Light Integral (DLI) is a key metric to optimise plant cultivation, influence photosynthesis, morphology, yield, and nutritional quality. Our study focuses on (i) the creation of the spatiotemporal DLI map for a representative Mediterranean country, Spain, (ii) the presentation of the improved semi-automatic DLI mapping workflow, (iii) the challenge of the comparability of different DLI value scalings in global (continent) and local context (country). DLI maps provide essential insights into the spatial and temporal distribution of natural and artificial light, critical for optimizing agricultural practices and enhancing crop yields. Spain's diverse topography and climate create significant regional and seasonal variations in DLI values. Using data from SunTracker Technologies and global weather stations, we developed detailed DLI maps at 30-meter resolution. These maps reveal high DLI values in coastal and southern regions, especially in summer, and lower values in northern and interior regions during winter. Our findings emphasize the importance of tailored lighting strategies in agriculture, suggesting higher scaling (from 5 to 2 mol·m−2·d−1) resolution for European contexts. This research underpins the development of smart agricultural systems that both quantitatively and qualitatively regulate lighting conditions (supplementary light and shading management) to maximize crop productivity and sustainability. Integrating DLI maps with IoT and AI technologies offers predictive insights for precision agriculture, highlighting the need for advanced training to leverage these tools effectively. |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=29999 |
| Jung, A., Szabó, D., Varga, Z., Lausch, A., Vohland, M., Sipos, L. (2024): Daily light integral maps for agriculture lighting design in Spain Smart Agric. Technol. 9 , art. 100681 10.1016/j.atech.2024.100681 |
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