{"id":35240,"date":"2025-06-12T10:12:21","date_gmt":"2025-06-12T08:12:21","guid":{"rendered":"https:\/\/ltfe.org\/en\/?p=35240"},"modified":"2025-06-12T11:03:30","modified_gmt":"2025-06-12T09:03:30","slug":"new-publication-of-our-latest-paper-the-future-of-vineyard-irrigation","status":"publish","type":"post","link":"https:\/\/ltfe.org\/en\/new-publication-of-our-latest-paper-the-future-of-vineyard-irrigation\/","title":{"rendered":"New publication of our latest paper: The Future of Vineyard Irrigation: AI-Driven Insights from IoT Data"},"content":{"rendered":"[vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_shadow=”none” column_border_radius=”none” column_link_target=”_self” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” column_border_width=”none” column_border_style=”solid” bg_image_animation=”none”][vc_column_text]We are excited to share the publication of our latest paper “The Future of Vineyard Irrigation: AI-Driven Insights from IoT Data\u201d, <\/em>published in Sensors <\/em>(MDPI). The study leverages Internet of Things (IoT) and artificial intelligence (AI), aiming to contribute to sustainable agricultural practices by enhancing irrigation management.<\/p>\n

Authors:<\/strong> Simona Stojanova, Mojca Volk, Gregor Balkovec, Andrej Kos in Emilija Stojmenova Duh<\/p>\n

Link to the paper: https:\/\/www.mdpi.com\/1424-8220\/25\/12\/3658#sec4-sensors-25-03658<\/strong><\/p>\n

Paper highlights<\/strong><\/p>\n

This research investigates the impact of integrating the IoT and AI-driven predictive models on improving irrigation management. It demonstrates how deep learning (DL) techniques can be effectively applied in agro-environmental contexts. Specifically, it presents a Long Short-Term Memory (LSTM)-based machine learning (ML) model, designed to forecast future irrigation needs by integrating diverse datasets, collected from a small-scale commercial estate vineyard in southwestern Idaho, the United States of America (USA). More precisely, the dataset consists from:<\/p>\n

    \n
  1. Soil moisture<\/li>\n
  2. Climatic variables: air temperature, relative humidity, solar radiation, wind speed and wind direction metrics.<\/li>\n
  3. Historical irrigation records<\/li>\n<\/ol>\n

    Through this analysis, the research shows several contributions on this topic:<\/p>\n

      \n
    • DL techniques are better than traditional ML models in regard to processing time-series sequential data, hence showing better overall performance results;<\/li>\n
    • the performance of the LSTM model was affected by the number of inputs, i.e., the dataset, meaning that integrating a more diverse dataset can affect the performance of the model;<\/li>\n
    • unlike many studies, the focus is on the irrigation factor and irrigation prediction, instead of other influencing factors.<\/li>\n<\/ul>\n

       <\/p>\n

      By developing, training, and testing an LSTM model, we achieve a balance between the simplicity and performance of the model, achieving high predictive accuracy. The reduced model complexity provides possibilities for easy implementation, making it suitable for real-world use. This work proves that effective irrigation forecasting can be achieved without the need for complex analyses, offering an efficient solution for farmers.[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_shadow=”none” column_border_radius=”none” column_link_target=”_self” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/2″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” column_border_width=”none” column_border_style=”solid” bg_image_animation=”none”][image_with_animation image_url=”35245″ animation=”Fade In” hover_animation=”none” alignment=”” border_radius=”none” box_shadow=”none” image_loading=”default” max_width=”100%” max_width_mobile=”default”][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_shadow=”none” column_border_radius=”none” column_link_target=”_self” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/2″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” column_border_width=”none” column_border_style=”solid” bg_image_animation=”none”][image_with_animation image_url=”35241″ animation=”Fade In” hover_animation=”none” alignment=”” border_radius=”none” box_shadow=”none” image_loading=”default” max_width=”100%” max_width_mobile=”default”][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"

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