Articles publicats (Grup de Recerca en AgròTICa i Agricultura de Precisió)
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Remote sensing imaging as a tool to support mulberry cultivation for silk production
(MDPI, 2022)In recent decades there has been an increasing use of remotely sensed data for precision agricultural purposes. Sericulture, the activity of rearing silkworm (Bombyx mori L.) larvae to produce silk in the form of cocoons, ... -
AKFruitData: A dual software application for Azure Kinect cameras to acquire and extract informative data in yield tests performed in fruit orchard environments
(Elsevier, 2022-10-29)The emergence of low-cost 3D sensors, and particularly RGB-D cameras, together with recent advances in artificial intelligence, is currently driving the development of in-field methods for fruit detection, size measurement ... -
Sensors de sòl per optimitzar la zonificació del reg
(Generalitat de Catalunya, Departament d’Agricultura, Ramaderia, Pesca i Alimentació, 2021-01-20) -
Delineation of management zones in hedgerow almond orchards based on vegetation indices from UAV images validated by LiDAR-derived canopy parameters
(MDPI, 2022)One of the challenges in orchard management, in particular of hedgerow tree plantations, is the delineation of management zones on the bases of high-precision data. Along this line, the present study analyses the applicability ... -
Pesticide dose adjustment in fruit and grapevine orchards by DOSA3D: Fundamentals of the system and on-farm validation
(Elsevier, 2022)Agricultural productivity cannot be sustained without the application of plant protection measures. Within the framework of integrated pest management (IPM), the use of chemical pesticides should be limited to the last ... -
PFuji-Size dataset: A collection of images and photogrammetry-derived 3D point clouds with ground truth annotations for Fuji apple detection and size estimation in field conditions
(Elsevier, 2021-11-24)The PFuji-Size dataset is comprised of a collection of 3D point clouds of Fuji apple trees (Malus domestica Borkh. cv. Fuji) scanned at different maturity stages and annotated for fruit detection and size estimation. ... -
3D Spectral Graph Wavelet Point Signatures in Pre-Processing Stage for Mobile Laser Scanning Point Cloud Registration in Unstructured Orchard Environments
(Institute of Electrical and Electronics Engineers, 2021-11-18)The use of three-dimensional registration techniques is an important component for sensor-based localization and mapping. Several approaches have been proposed to align three-dimensional data, obtaining meaningful results ... -
A Cheap electronic sensor automated trap for monitoring the flight activity period of moths
(Institute of Entomology, 2021-10-11)Automated pheromone dispensers disrupt the mating behaviour of pest moths by releasing pheromone during their daily activity period, which is not the same for all target species. These periods usually occur in or close to ... -
3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system
(Elsevier, 2021-09-02)On the way to more sustainable and resilient urban environments, the incorporation of urban green infrastructure (UGI) systems, such as green roofs and vertical greening systems, must be encouraged. Unfortunately, given ... -
A photogrammetry-based methodology to obtain accurate digital ground-truth of leafless fruit trees
(Elsevier, 2021-11-05)In recent decades, a considerable number of sensors have been developed to obtain 3D point clouds that have great potential in optimizing management in agriculture through the application of precision agriculture techniques. ... -
L'agricultura de precisió: què és i com pot ajudar l'agricultura catalana?
(Generalitat de Catalunya, Departament d’Agricultura, Ramaderia, Pesca i Alimentació, 2020-12-01) -
Bases for pesticide dose expression and adjustment in 3D crops and comparison of decision support systems
(Elsevier, 2022-02-01)Authorities around the world have committed to limiting the use of chemical pesticides by reducing doses, among other strategies. Nevertheless, different dose expression models and decision support systems (DSSs) for dose ... -
In-field apple size estimation using photogrammetry-derived 3D point clouds: Comparison of 4 different methods considering fruit occlusions
(Elsevier, 2021-07-30)In-field fruit monitoring at different growth stages provides important information for farmers. Recent advances have focused on the detection and location of fruits, although the development of accurate fruit size estimation ... -
Map-based zonal dosage strategy to control yellow spider mite (Eotetranychus carpini) and leafhoppers (Empoasca vitis & Jacobiasca lybica) in vineyards
(Elsevier, 2021)The particularly high incidence of yellow spider mite and leafhoppers in southern European viticulture means that between 1 and 4 interventions are required each year for their effective control. In vineyards with spatial ... -
Spatially variable pesticide application in vineyards: Part II, field comparison of uniform and map-based variable dose treatments
(Elsevier, 2020)Reducing pesticide use is an important concern for many including the European Commission. One way to achieve this goal is to adjust the amount of pesticides in relation to canopy geometry and foliage. This objective ... -
Assessing the Performance of RGB-D Sensors for 3D Fruit Crop Canopy Characterization under Different Operating and Lighting Conditions
(MDPI, 2020-12-10)The use of 3D sensors combined with appropriate data processing and analysis has provided tools to optimise agricultural management through the application of precision agriculture. The recent development of low-cost ... -
Spatially variable pesticide application in vineyards: Part I, developing a geostatistical approach
(Elsevier; Academic Press, 2020-05-18)A geostatistical methodology is presented to optimise the dosage of plant protection products (PPP) in vineyards with spatial variability. Sprayers are commonly used in viticulture to apply a constant volume rate per unit ... -
Fuji-SfM dataset: A collection of annotated images and point clouds for Fuji apple detection and location using structure-from-motion photogrammetry
(Elsevier, 2020)The present dataset contains colour images acquired in a commercial Fuji apple orchard (Malus domestica Borkh. cv. Fuji) to reconstruct the 3D model of 11 trees by using structure-from-motion (SfM) photogrammetry. The data ... -
Analyzing and overcoming the effects of GNSS error on LiDAR based orchard parameters estimation
(Elsevier, 2020)Currently, 3D point clouds are obtained via LiDAR (Light Detection and Ranging) sensors to compute vegetation parameters to enhance agricultural operations. However, such a point cloud is intrinsically dependent on the ... -
LFuji-air dataset: annotated 3D LiDAR point clouds of Fuji apple trees for fruit detection scanned under different forced air flow conditions
(Elsevier, 2020)This article presents the LFuji-air dataset, which contains LiDAR based point clouds of 11 Fuji apples trees and the corresponding apples location ground truth. A mobile terrestrial laser scanner (MTLS) comprised of a LiDAR ...