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ISHS Acta Horticulturae 1360

XXXI International Horticultural Congress (IHC2022): III International Symposium on Mechanization, Precision Horticulture, and Robotics: Precision and Digital Horticulture in Field Environments

List price   € 88   Buy this book  
This title is available in ActaHort USB-drive, e-Acta, and print format
Conveners   S. Sankaran, D. Rousseau 
Editors   S. Sankaran, D. Rousseau 
Publication
date  
28 February 2023 
ISBN   978-94-62613-59-1 
ISSN   0567-7572 (print)   2406-6168 (electronic) 
Number of articles   45 
Volumes  
Place   Angers, France 
Online articles:
Acta Horticulturae 1360 - cover - colophon - contents - authors
Combining 3D structural features and multimodal fusion data to correct illumination effect of plant multispectral point clouds (Pengyao Xie, Ruiming Du, Zhihong Ma, Haiyan Cen)
Comparison between UAV and terrestrial LiDAR scans for high throughput phenotyping of architectural traits of a core collection of apple trees (J.-P. Rojas-Bustos, A. Branthomme, E. Costes, F. Boudon)
Leaf area estimation of strawberry plants using commercial low-cost LiDAR (N. Singh, K.K. Saha, P. Makaram, M. Zude-Sasse)
Testing the suitability of a terrestrial 2D LiDAR scanner for 3D canopy characterisation of narrow vineyards to optimise the spraying process (A. Cheraiet, J. Taylor, S. Codis, P. Petitot, F. Bidaut, M. Liebart, O. Naud)
A study of pixelwise segmentation metrics using clustering of variables and self-organizing maps (P. Melki, L. Bombrun, E. Millet, B. Diallo, H. El Chaoui El Ghor, J.-P. Da Costa)
Automatic apple detection in orchards with computer vision and machine learning (M. Zine El Abidine, A. Ahmad, H. Dutagaci, D. Rousseau)
Automatic diagnosis of a multi-symptom grape vine disease using computer vision (M. Tardif, A. Amri, B. Keresztes, A. Deshayes, D. Martin, M. Greven, J.-P. Da Costa)
Deep learning-based open set domain adaptation for plant disease recognition across multiple greenhouse scenarios (A. Fuentes, S. Yoon, J. Lee, T. Kim, D.S. Park)
Detection of narrow-leaved weeds in chickpea based on visible remote sensing (L. Parra, D. Mostaza-Colado, J. Lloret, S. Sendra, J. Marín, P.V. Mauri)
Detection of the spectral signature of Phytophthora root rot (PRR) symptoms using hyperspectral imaging (C. Poblete-Echeverría, S.J. Duncan, A. McLeod)
Development of a vision and image analysis system to evaluate the natural regulation of crop pests (J.-M. Ricard, G. Sentenac, A. Guerin, P. Masquin, A. Ferre, A. Fougère, V. Tosser, J. Marks-Perreau, T. Corbière, G. Duclos, A. Gardarin, L. Girerd)
Evaluating different multispectral vegetation indices for assessing the nitrogen status of white cabbage (Brassica oleracea var. capitata) under organic farming conditions (F. Besand, K.-U. Katroschan)
Hyperspectral imaging in Penicillium spp. infection detection (A.M. Antolkovic, A.M. Gotal, A. Viduka, R. Vrtodusic, M. Petek, T. Karazija, M. Skendrovic Babojelic, M. Satvar, Z. Grgic, A. Loncaric, B. Sarkanj, T. Kovac, G. Fruk)
Observational detection methods for outdoor ornamental plant diseases (I. Nāburga, A. Sparinska, A. Korica, J. Zvirgzds, M. Kalinka)
Agri-food: which technologies to guarantee our health? (A. Sortino, G. De Leo, T. Caruso, A. Zinnai, F. Beltrame)
BIPBIP: a mechanical and automated intra-row weeding solution (M. Louargant, L. Lac, J.-P. Da Costa, M. Donias, B. Keresztes, H. Gimbert, S. N’Guyen, E. Labriffe, L. Bondu, F. Kaçar)
Developing a digital twin of apple production and supply chain ecosystems (A.J. Mawson, C.J. Stanley, J. Zhu, D.E. Pattemore, K.M. Chooi, R.J. Oliver, H.T. Lin, F.R. Harker)
Evaluation of the influence of mechanical pruning in the performance of the row-side continuous canopy shaking harvester prototype (A.B. Dias, J. Falcão, A. Pinheiro, J. Peça)
How to modulate mechanical winter pruning according to the productive and enological traits of four Vitis vinifera L. varieties cultivated in the north of Italy (G. Allegro, G. Valentini, C. Pastore, R. Mazzoleni, R. Martelli, F. Pezzi, I. Filippetti)
Intelligent spray technology to control pests in nursery and orchard systems with reduced pesticide application rates (L. Fessler, D. Lockwood, W. Wright, G. Pietsch, S. Xiaocun, W. Yeary, H. Zhu, T. Bordeau, L. Russo, A. Fulcher)
Precision fruticulture in Flanders – a four-year study on sensing techniques, data analysis and variable rate applications (J. Vandermaesen, S. Delalieux, B. Rombouts, Y. Smedts, J. Bal, D. Bylemans, S. Remy)
Recent work on robotic pruning of upright fruiting offshoot cherry systems (J.R. Davidson, A. You, N. Parayil, J. Gopala Krishna, M. Whiting, M. Karkee, C. Grimm)
The smart orchard of the future (I. Hanrahan, J.R. Davidson, L.R. Khot)
Trektor: a robotic solution for a complete agricultural cycle in spinach cultures (C. Aubry-Tardif, H. Nehme, F. Arignon)
Using Green Atlas Cartographer to investigate orchard-specific relationships between tree geometry, fruit number, fruit clustering, fruit size and fruit colour in commercial apples and pears (A. Scalisi, L. McClymont, M. Peavey, P. Morton, S. Scheding, J. Underwood, I. Goodwin)
A deep learning-based web application to quantify blueberry internal bruising (X. Ni, F. Takeda, H. Jiang, W.Q. Yang, S. Saito, C. Li)
Assessment of the universality of the electrophysiological signal acquired from tomatoes and eggplants (E. Najdenovska, F. Dutoit, G. Carron, D. Tran, C. Plummer, N. Wallbridge, C. Camps, L.E. Raileanu)
Automatic fasciation detection in salad with 2D X-ray imaging (H. Sherif, A. Charrier, P. Rasti, E. Guiloteau, J. Messaka, D. Rousseau)
Construction of flower bud diagnosis system using AI image analysis in strawberry cultivation (S. Matsuo, Y. Takahashi, C. Tokoro, M. Isozaki)
Deep learning-based detection of seedling development from controlled environment to field (H. Garbouge, N. Sapoukhina, P. Rasti, D. Rousseau)
Transfer learning from indoor to outdoor in cultivar testing: application to russeting detection (M. Zine El Abidine, H. Dutagaci, D. Rousseau)
Vis/NIR spectroscopy is a promising tool to predict fruit set and chemical thinner response (J.E. Larson, T.M. Kon)
Analysis of environmental monitoring in greenhouse for the cultivation of mother plants of Cannabis sativa in the Colombian Andes (J.M. Galindo, P.A. Uribe, L.C. González)
Characterizing spray deposits from variable- and constant-rate spray technologies: implications for future optimization to target trunk and foliar pests (L. Fessler, G. Pietsch, W. Wright, H. Zhu, S. Xiaocun, A. Fulcher)
Development of a digital monitoring system for pear rust and fire blight in fruit orchards (S. Reim, M. Pflanz, V. Maß, M. Geyer, J. Seidl-Schulz, M. Leipnitz, E. Fritzsche, H. Flachowsky)
Effect of using spunbond in tomato (Solanum lycopersicon) production on yield and diseases during the dry season (P. Phuphong, L. Lacambra, M. Pelletier)
Modeling 3D architecture of adult peach trees (Prunus persica (L.) Batsch) using remote sensing data (S. Sankaran, E.F. Carlos, M.G. Raman)
Outlook of the agricultural extension mobile application – Abu Dhabi case study (K.M. Al Marzouqi, M.S. Alhammadi)
Precision nutrient management utilizing UAV multispectral imaging and artificial intelligence (Y. Ampatzidis, L. Costa, U. Albrecht)
Tuberzone – a decision support tool constructed from a physiological model (D.M.B. Travers, J. Wilson, J. Taylor, H. Chen, C. Burness)
Use of VIS-NIR data for characterizing grapevine canopies: remote and proximal sensing approaches at individual vine scale (C. Poblete-Echeverría, A. Berry, J. Luus, M.A. Vivier)
Fruit yield estimation using image analysis is also about correcting the number of detections (J. Sarron, L. Tresch, H. Bendahou, J.M.K. Koffi, N. Avlessi, C.A.B. Sané, E. Faye, J. Lavarenne)
Software architecture of OFMIS on tree fruit harvest timing and load (H.K. Dhonju, K.B. Walsh, T.P. Bhattarai)
The potential of RGB camera for machine learning in non-destructive detection of nutrient deficiencies in apples (A. Viduka, G. Fruk, M. Skendrovic Babojelic, A.M. Antolkovic, R. Vrtodusic, T. Karazija, M. Satvar Vrbancic, Z. Grgic, M. Petek)
Using proximal sensing parameters linked to the photosynthetic capacity to assess the nutritional status and yield potential in quinoa (D.K. Cudjoe, F.G. Okyere, N. Virlet, M. Castle, P. Buchner, S. Parmar, P. Sadeghi-Tehran, A. Riche, Q. Sohail, M. Mhada, M. Ghanem, T.W. Waine, F. Mohareb, M.J. Hawkesford)
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