10 lines
1.7 KiB
Markdown
10 lines
1.7 KiB
Markdown
|**ID**|**Name**|**Type**|**Crop**|**Date of Lecture**|**Link**|
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|------|--------|--------|--------|-------------------|--------|
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|[1](Papers/1.md)|Phenology and yield evaluation of hazelnut cultivars in Latium Region |Phenology|Hazelnut|16 luglio 2025|https://zenodo.org/records/3826053?utm_source=chatgpt.com|
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|[2](Papers/2.md)|TomatoScanner: fenotipado de la fruta de tomate basado solo en una imagen RGB|Morphologic|Tomato|16 luglio 2025|https://arxiv.org/abs/2503.05568?utm_source=chatgpt.com|
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|[3](Papers/3.md)|Tomato Maturity Recognition with Convolutional Transformers|Maturity|Tomato|16 luglio 2025|https://arxiv.org/pdf/2307.01530|
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|[4](Papers/4.md)|Characterization of Hazelnut Trees in Open Field Through High-Resolution UAV-Based Imagery and Vegetation Indices|Healthy/Stressed|Hazelnut|16 luglio 2025|https://www.mdpi.com/1424-8220/25/1/288?utm_source=chatgpt.com|
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|[5](Papers/5.md)|Hazelnut mapping detection system using optical and radar remote sensing: Benchmarking machine learning algorithms|Detection|Hazelnut|16 luglio 2025|https://www.iris.unicampus.it/handle/20.500.12610/78544?utm_source=chatgpt.com|
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|[6](Papers/6.md)|Exploring the relationships between ground observations and remotely sensed hazelnut spring phenology|Phenology|Hazelnut|16 luglio 2025|https://link.springer.com/article/10.1007/s00484-024-02815-1?utm_source=chatgpt.com|
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|[7](Papers/7.md)|Computer Vision and Deep Learning as Tools for Leveraging Dynamic Phenological Classification in Vegetable Crops|Phenology|NaN|16 luglio 2025|https://www.mdpi.com/2073-4395/13/2/463?utm_source=chatgpt.com|
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|[8](Papers/8.md)|Codifica fenologica e dinamica dell’assorbimento minerale in Cynara cardunculus var. scloymus|Phenology|Artichokes|23 luglio 2025|https://core.ac.uk/reader/11693970| |