Publications
Peer-Reviewed Publications and Conference Contributions
Boubennec, A., Quero-Garcia, J., Alletru, D., Bouchouat, E. M., Alchanatis, V., & Sadka, A. (2025). High-throughput real-time monitoring and prediction of fruit cracking by utilising and upscaling sensing and digital data technologies. 10th International Cherry Symposium, Richland, WA, United States. https://cracksense.eu/wp-content/uploads/2026/01/Poster-CrackSense-90x120cm.pdf
Fotouo Makouate, H.; Tapia Zapata, N.; Zude-Sasse, M. (2025). Advances in growing degree days models for flowering to harvest: optimizing crop management with methods of precision horticulture—A Review. Horticulturae 11(12): 1415. https://cracksense.eu/wp-content/uploads/2026/03/horticulturae-11-01415.pdf
Fotouo, H.M.; Tapia Zapata, N.; Zude-Sasse, M. (2025). Comparative Analysis of Temperature Monitoring Methods and Their Impact on Growing Degree Day Accumulation in Apple Orchard Management: A Multi-Sensor Approach. IEEE Workshop METROAGRIFOR, October 2025, Bologna. https://cracksense.eu/wp-content/uploads/2026/03/Comparative-Analysis-of-Temperature-Monitoring-Methods-and-Their-Impact-on-Growing-Degree-Day-Accumulation-in-Apple-Orchard-Management_-A-Multi-Sensor-Approach.docx.pdf
Ginzberg, I., Kaplan, Y., Manasherova, E., Faigenboim, A., Morozov, M., Yoktan, Y., Alon, N., Cohen, H., Sadka, A., & Alchanati, V. (2025). Pomegranate skin development and fruit cracking incidence – omics and sensing approaches. VI International Symposium on Pomegranate and Minor Mediterranean Fruits (POMSYM 2025), Bari, Italy. https://cracksense.eu/wp-content/uploads/2025/10/Pomegranate-conference-paper-Idit.docx.pdf
Nikolakopoulou, G., Fountas, S., Kantari, A.K., Ntakos, G., Alchanatis, V., Sadka, A., Ginzberg, I., Laor, M., Paz-Kagan, T. (2025). Estimating pomegranate fruit cracking through proximal and aerial remote sensing. ECPA 2025, Barcelona, Spain, June 29 – July 4. Edited by John Stafford, pp. 17-18. https://cracksense.eu/wp-content/uploads/2025/07/Estimating-pomegranate-fruit-cracking-through-proximal-and-aerial-remote-sensing.docx.pdf
Nikolakopoulou, G., Fountas, S., Kantari, A.K., Ntakos, G., Alchanatis, V., Sadka, A., Ginzberg, I., Laor, M., Paz-Kagan, T. (2025). Estimating pomegranate fruit cracking through proximal and aerial remote sensing. ECPA 2025, Barcelona, Spain, June 29 – July 4. Edited by John Stafford, pp. 17-18. (poster)
Jörissen, S.; Regen, C.; Zude-Sasse, M. (2024). Code for data fusion of LiDAR 3D point clouds and thermal images. https://gitlab-extern.atb-potsdam.de/cracksense/3d_thermal_annotation
Sadka, A., Alchanatis, V., Morozov, M., Saville, Y., Kamera, I., & Paz-Kagan, T. (2024). CrackSense: High throughput real-time monitoring and prediction of fruit cracking by utilizing and upscaling sensing and digital data technologies. 15th International Citrus Congress (ICC 2024), Jeju, Korea, p. 169. https://cracksense.eu/wp-content/uploads/2024/11/CrackSense-Letterhead-02122022.docx-1.pdf
Shpitaler, S., Ginzberg, I., Edan, Y., & Alchanatis, V. (2025). Estimating the cracking risk in pomegranate fruits using RGB and thermal sensing. Annual Conference of the Israeli Society of Agricultural Engineering, Tel Aviv, Israel. https://cracksense.eu/wp-content/uploads/2026/03/Estimating-the-cracking-risk-in-pomegranate-fruits.docx.pdf
Tapia Zapata, N.; Regen, C.; Quero-Garcia, J.; Fountas, S.; Alchanatis, V.; Zude-Sasse, M. (2025). Temperature Annotated 3D Point Clouds Measured in Various Climate Conditions, Providing the Fruit Surface Temperature and Local Weather Data. Data repository ATB, Germany. https://technologygarden.atb-potsdam.de/cracksense/
Tapia-Zapata, N.; Winkler, A.; & Zude-Sasse, M. (2024). Occurrence of wetness on the fruit surface modeled using spatio-temporal temperature data from sweet cherry tree canopies. Horticulturae, 10(7), 757. https://doi.org/10.3390/horticulturae10070757
Tapia-Zapata, N.; Winkler, A.; & Zude-Sasse, M. (2024). Temperature annotated 3D Point Cloud of sweet cherry trees in climate chamber [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10687819
Tapia-Zapata, N.; Zude-Sasse, M. (2024). Modelling fruit surface temperature by means of LiDAR 4D point clouds. II International Symposium on Precision Management of Orchards and Vineyards, Tatura, Australia. https://cracksense.eu/wp-content/uploads/2024/12/20240130194227_1057677_729_80_3688756.pdf
Tapia-Zapata, N.; Winkler, A.; & Zude-Sasse, M. (2024). Temperature kinetics of whole canopy and sweet cherry clusters by means of 4D point clouds. IX International Postharvest Symposium, Rotorua, New Zealand. https://cracksense.eu/wp-content/uploads/2024/12/Abstract-Letterhead.docx.pdf
Tapia Zapata, N.; Zude-Sasse, M. (2025). Geometric and radiometric analysis of dual wavelength NIR-LiDAR scanning for estimating physiological and free water of leaves in apple tree canopies. Scientia Horticulturae. https://cracksense.eu/wp-content/uploads/2026/03/1-s2.0-S0304423825006119-main.pdf
Tapia Zapata, N.; Zude-Sasse, M. (2025). Technology Garden: Apple monitoring during heat waves. Science Symposium 7.2.2025, Fruit Logistica 2025, Berlin, Germany. https://cracksense.eu/wp-content/uploads/2026/03/Technology-Garden_-Apple-monitoring-during-heat-waves.docx.pdf
Zude-Sasse, M. (2024). Invited Keynote: Recent advancements for sensors and technologies in horticultural crops. IEEE METROAGRIFOR Workshop, 29-31 October 2024, Padua, Italy. https://cracksense.eu/wp-content/uploads/2026/03/Recent-advancements-for-sensors-and-technologies-in-horticultural-crops.docx.pdf
Zude-Sasse, M. (2025). Invited Keynote: Close-range remote sensing data for optimising horticultural production processes. Asian Conference on Precision Agriculture (ACPA), Taiwan, 12–18 October 2025. https://cracksense.eu/wp-content/uploads/2026/03/Close-range-remote-sensing-data-for-optimising-horticultural-production-processes.docx.pdf
Zude-Sasse, M. (2025). Keynote: Close-range remote sensing for characterizing the tree water status of apple trees. FruitCREWS Workshop, June 2025, Naoussa, Greece. https://cracksense.eu/wp-content/uploads/2026/03/Close-range-remote-sensing-for-characterizing-the-tree-water-status-of-apple-trees.docx.pdf
