Review of deep learning techniques applied to agriculture with a main focus on vineyards. Structure: 1- Introduction introduction to deep learning in Agriculture and Viticulture/vineyards 2.1- Crop recognition/detection and classification review of deep learning techniques applied to Viticulture/vineyards 2.2- Diseases and pests detection review of deep learning techniques applied to Viticulture/vineyards 2.3- Yield prediction and crop quality review of deep learning techniques applied to Viticulture/vineyards 2.4- Water management and soil management review of deep learning techniques applied to Viticulture/vineyards 3- Discussion/Conclusions References must be numbered in order of appearance in the text and listed individually at the end of the manuscript. IEEE style. In the text, reference numbers should be placed in square brackets [ ] and placed before the punctuation; for example [1], [1–3] or [1,3].
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