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View article: Enhancing Education in Agriculture via XR-Based Digital Twins: A Novel Approach for the Next Generation
Enhancing Education in Agriculture via XR-Based Digital Twins: A Novel Approach for the Next Generation Open
Integrating Artificial Intelligence (AI) and Extended Reality (XR) technologies into agriculture presents a transformative opportunity to modernize education and sustainable food production. Traditional agriculture training remains resourc…
View article: Comparative analysis of single-view and multiple-view data collection strategies for detecting partially-occluded grape bunches: Field trials
Comparative analysis of single-view and multiple-view data collection strategies for detecting partially-occluded grape bunches: Field trials Open
Extracting phenotypic traits of grape bunch is crucial for accurately monitoring grape quality, health, and yield estimation. This is important for optimising resources, enhancing marketing strategies, and boosting overall agricultural pro…
View article: A Novel Decision Support System for Generating Irrigation Ecolabels Based on the Resource Overutilization Ratio
A Novel Decision Support System for Generating Irrigation Ecolabels Based on the Resource Overutilization Ratio Open
As a crucial economic activity, agriculture must consider factors that impact business viability, such as environmental conditions and climate. In planning an agricultural field, particularly for woody crops, it’s crucial to recognize that…
View article: Integrated framework for multipurpose UAV Path Planning in hedgerow systems considering the biophysical environment
Integrated framework for multipurpose UAV Path Planning in hedgerow systems considering the biophysical environment Open
This study presents a new path-planning framework for precision agriculture, designed for hedgerow systems, which combines cutting-edge technology and data analysis to enhance crop management in light of climate change challenges. The fram…
View article: Speeding up UAV-based crop variability assessment through a data fusion approach using spatial interpolation for site-specific management
Speeding up UAV-based crop variability assessment through a data fusion approach using spatial interpolation for site-specific management Open
Innovations in precision agriculture enhance complex tasks, reduce environmental impact, and increase food production and cost efficiency. One of the main challenges is ensuring rapid information availability for autonomous vehicles and st…
View article: EscaYard: Precision viticulture multimodal dataset of vineyards affected by Esca disease consisting of geotagged smartphone images, phytosanitary status, UAV 3D point clouds and Orthomosaics
EscaYard: Precision viticulture multimodal dataset of vineyards affected by Esca disease consisting of geotagged smartphone images, phytosanitary status, UAV 3D point clouds and Orthomosaics Open
The "EscaYard" dataset comprises multimodal data collected from vineyards to support agricultural research, specifically focusing on vine health and productivity. Data collection involved two primary methods: (1) unmanned aerial vehicle (U…
View article: An aerial framework for Multi-View grape bunch detection and route Optimization using ACO
An aerial framework for Multi-View grape bunch detection and route Optimization using ACO Open
Typically, commercial orchards and vineyards consist of large fields that encounter similar development phases at once. Thus, it becomes necessary to efficiently fly over all fields to detect fruit and identify their status in a very limit…
View article: GrapeMOTS: UAV vineyard dataset with MOTS grape bunch annotations recorded from multiple perspectives for enhanced object detection and tracking
GrapeMOTS: UAV vineyard dataset with MOTS grape bunch annotations recorded from multiple perspectives for enhanced object detection and tracking Open
Object Detection and Tracking have provided a valuable tool for many tasks, mostly time-consuming and prone-to-error jobs, including fruit counting while in the field, among others. Fruit counting can be a challenging assignment for humans…
View article: Efficient Assessment of Crop Spatial Variability Using UAV Imagery: A Geostatistical Approach
Efficient Assessment of Crop Spatial Variability Using UAV Imagery: A Geostatistical Approach Open
Precision agriculture has seen significant advancements with the integration of remote-sensing technologies. However, challenges such as real-time data availability and computing limitations persist. This study aimed to develop a standardi…
View article: Benchmarking the Reliability of Sentinel-2 Satellite Data for Estimating Vineyard NDVI and Leaf Area Index Parameters through UAV LiDAR and Multispectral Imagery
Benchmarking the Reliability of Sentinel-2 Satellite Data for Estimating Vineyard NDVI and Leaf Area Index Parameters through UAV LiDAR and Multispectral Imagery Open
The use of satellite data in precision agriculture, especially for woody crops, has gained prominence. Such data aid in forecasting yield, predicting crop quality, and irrigation management by providing insights into crop conditions. Howev…
View article: Improving Up-Close Remote Sensing of Occluded Areas in Vineyards through Customized Multiple-Unmanned-Aerial-Vehicle Path Planning
Improving Up-Close Remote Sensing of Occluded Areas in Vineyards through Customized Multiple-Unmanned-Aerial-Vehicle Path Planning Open
This study presents a novel approach to address challenges regarding data acquisition for object detection and tracking purposes by enhancing UAV path planning specifically designed for fruit detection in woody crops trained on vertical tr…
View article: Comparing Nadir and Oblique Thermal Imagery in UAV-Based 3D Crop Water Stress Index Applications for Precision Viticulture with LiDAR Validation
Comparing Nadir and Oblique Thermal Imagery in UAV-Based 3D Crop Water Stress Index Applications for Precision Viticulture with LiDAR Validation Open
Unmanned Aerial Vehicle (UAV) thermal imagery is rapidly becoming an essential tool in precision agriculture. Its ability to enable widespread crop status assessment is increasingly critical, given escalating water demands and limited reso…
View article: BBR: An open-source standard workflow based on biophysical crop parameters for automatic Botrytis cinerea assessment in vineyards
BBR: An open-source standard workflow based on biophysical crop parameters for automatic Botrytis cinerea assessment in vineyards Open
Assessing crop diseases at an early stage allows farmers to apply chemicals at the most efficient moment to control the pest and focus on the plants with the highest risk of developing the disease. Moreover, the earlier the assessment the …
View article: Object detection and tracking on UAV RGB videos for early extraction of grape phenotypic traits
Object detection and tracking on UAV RGB videos for early extraction of grape phenotypic traits Open
Grapevine phenotyping is the process of determining the physical properties (e.g., size, shape, and number) of grape bunches and berries. Grapevine phenotyping information provides valuable characteristics to monitor the sanitary status of…
View article: High resolution LiDAR dataset acquired using UAV (unmanned aerial vehicle) over two vineyards and two years located in 'Tomiño', Pontevedra, Spain.
High resolution LiDAR dataset acquired using UAV (unmanned aerial vehicle) over two vineyards and two years located in 'Tomiño', Pontevedra, Spain. Open
This dataset features an extensive collection of LiDAR data from vineyards in northern Spain, targeting vineyards to address the growing demand for public UAV LiDAR datasets in Agricultural Sciences. The data was gathered using a DJI M300 …
View article: High resolution LiDAR dataset acquired using UAV (unmanned aerial vehicle) over two vineyards and two years located in 'Tomiño', Pontevedra, Spain.
High resolution LiDAR dataset acquired using UAV (unmanned aerial vehicle) over two vineyards and two years located in 'Tomiño', Pontevedra, Spain. Open
This dataset features an extensive collection of LiDAR data from vineyards in northern Spain, targeting vineyards to address the growing demand for public UAV LiDAR datasets in Agricultural Sciences. The data was gathered using a DJI M300 …
View article: Dataset on UAV RGB videos acquired over a vineyard including bunch labels for object detection and tracking
Dataset on UAV RGB videos acquired over a vineyard including bunch labels for object detection and tracking Open
Counting the number of grape bunches at an early stage of development offers relevant information to the winegrower about the potential yield to be harvested. However, manual counting on the fields is laborious and time-consuming. Remote s…
View article: Estimation of spinach (Spinacia oleracea) seed yield with 2D UAV data and deep learning
Estimation of spinach (Spinacia oleracea) seed yield with 2D UAV data and deep learning Open
Precision agriculture has drawn much attention in the last few years because of the benefits it has on reducing farming costs while maximizing the harvest obtained. Yield prediction is of importance for farmers to fertilize accordingly to …
View article: UAV multispectral imagery dataset over a vineyard affected by Botrytis in 'Tomiño', Pontevedra, Spain. It includes GPS location of vine trunks, diseases and GCP points.
UAV multispectral imagery dataset over a vineyard affected by Botrytis in 'Tomiño', Pontevedra, Spain. It includes GPS location of vine trunks, diseases and GCP points. Open
This dataset contains a set of ground data and four flights captured on grape harvest over a vineyard affected by Botrytis cinerea. UAV flights took place on 16 September 2021, at 30 m height and using different angles (0, 30, 45 degrees).…
View article: UAV multispectral imagery dataset over a vineyard affected by Botrytis in 'Tomiño', Pontevedra, Spain. It includes GPS location of vine trunks, diseases and GCP points.
UAV multispectral imagery dataset over a vineyard affected by Botrytis in 'Tomiño', Pontevedra, Spain. It includes GPS location of vine trunks, diseases and GCP points. Open
This dataset contains a set of ground data and four flights captured on grape harvest over a vineyard affected by Botrytis cinerea. UAV flights took place on 16 September 2021, at 30 m height and using different angles (0, 30, 45 degrees).…
View article: UAV multispectral imagery dataset over a vineyard affected by Botrytis in 'Tomiño', Pontevedra, Spain. Includes GPS location of diseases and GCP points.
UAV multispectral imagery dataset over a vineyard affected by Botrytis in 'Tomiño', Pontevedra, Spain. Includes GPS location of diseases and GCP points. Open
This dataset contains a set of ground data and four flights captured on grape harvest over a vineyard affected by Botrytis cinerea. UAV flights took place on 16 September 2021, at 30 m height and using different angles (0, 30, 45 degrees).…