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| ISHS Acta Horticulturae 1395II International Symposium on Precision Management of Orchards and Vineyards |
| List price | € 105 Buy this book
This title is available in ActaHort USB-drive, e-Acta, and print format |
| Convener | M. O’Connell |
| Editors | M. O’Connell, A. Scalisi, I. Goodwin |
Publication
date | 30 May 2024 |
| ISBN | 978-94-62613-94-2 |
| ISSN | 0567-7572 (print) 2406-6168 (electronic) |
| Number of articles | 59 |
| Volumes | 1 |
| Place | Tatura, Victoria, Australia |
| Online articles: |
 | Acta Horticulturae 1395 - cover - colophon - contents - authors |
 | Crop water stress sensing for improved management in orchards and vineyards (V. Gonzalez-Dugo) |
| Carry-over effects of long-term water deficit in nectarine (M.G. O’Connell, A. Scalisi) |
| Evapotranspiration and water stress assessment in a sweet cherry orchard using in-situ and remote sensing techniques (P.C. Tharaga, L. Dlamini) |
| Water stress detection in olive at the farm level using high-resolution multispectral airborne imagery: assessment against canopy temperature (T. Poblete, V. Gonzalez-Dugo, A. Hornero, P.J. Zarco-Tejada) |
| A stereo-imaging system to assess plant water status in kiwifruit and grapevine: recent advances (L. Masiero, P. Marcuzzo, N. Belfiore, A. Cagnin, M. Minervini, N. Vicino, D. Vicino, F. Gaiotti) |
| Optimizing water management in young almond orchards with heavy clay soils in southeastern Australia using proximal and remote sensors (C. Ballester, R. Filev-Maia, J. Hornbuckle) |
| Using remote sensing models to determine evapotranspiration of a pomegranate orchard in a Mediterranean-type climate (R.L. Kgaphola, P.C. Tharaga, T. Volschenk, S. Dzikiti) |
| Irrigatmo: no-moving parts system for feed-back and feed-forward irrigation scheduling (G. Rallo, L. Bonzi, E. Dichio, R. Di Biase, R. Massai, A.N. Mininni, Ŕ. Puig-Sirera, D. Remorini) |
| Enhancing sustainable water management: utilizing UAV-based NIR/SWIR hyperspectral imaging to evaluate grapevine water status in a variably irrigated vineyard (E. Laroche-Pinel, K. Vasquez, G. Partida, L. Brillante) |
| Digital twins for mitigation of orchard spray drift (L. Han, J. Cao, P. Ibell, R. Orr, D. Abramson, D. Carr, Y. Diczbalis, D. Innes) |
| Relationships between canopy radiation interception and LiDAR-derived geometry features in pome and stone fruit (A. Scalisi, M.G. O’Connell, M. Peavey, L. McClymont, I. Goodwin) |
| Non-destructive sensors and modelling to detect apple fruit and tree properties (K. Biegert, R.J. McCormick) |
| Unlocking precision horticulture through machine learning-driven 3D canopy analysis (B.P. Banerjee, A. Scalisi, N. Valluri, L. Bonzi, M.G. O’Connell, G.J. Fitzgerald, I. Goodwin) |
| Smart sensing and imaging systems for a digital twin of apple production (R.J. Oliver, K.M. Chooi) |
| Applying a solar model to LiDAR images of an agrivoltaic pear orchard (L. Bonzi, A. Scalisi, M.G. O’Connell, B.P. Banerjee, G. Rallo, D. Remorini, N. Valluri, I. Goodwin) |
| Assessing vineyard and orchard variability through analysis of canopy images (R. De Bei, G. Thorp, K. Breen, J. Stanley, C. Collins) |
| Advancing high-performance apple production systems through digital twin modelling (J. Stanley, J. Zhu, F. Rojo, T. Kaneko, K. Breen, A. Friend, E. Teixeira, N. Niemann, J. Mawson) |
| Experiment-modelling-integration of fundamental physiological processes towards digital twin: light-response of photosynthesis as an example (S. Zhou, Zipiao Ye, D. Stefanelli) |
| A stochastic planar cordon apple tree structural model to assist precision canopy management (F. Rojo, T. Kaneko, Junqi Zhu, Xiumei Yang, K. Breen, J. Bristow, B. van Hooijdonk) |
| Monitoring leaf nitrogen in almond orchards using airborne hyperspectral and Sentinel-2 imagery (Y. Wang, L. Suarez, T. Poblete, A. Hornero, V. Gonzalez-Dugo, D. Ryu, P.J. Zarco-Tejada) |
| Assessing the relationship between soil variability, canopy density, and yield in Utah tart cherry orchards (K. Wedegaertner, B. Black, A. Safre, C. Lilligren, G. Cardon, A. Torres-Rua) |
| Benchmarking the relationship between nitrogenous compounds in wine grape juice with nitrogen fertiliser applications to determine nitrogen fertiliser replacement value (P. French, M. Hardie, N.D. Swarts) |
| Soil mapping technology for perennial crops (B. Sallato) |
| A review of the production challenges for sweet cherries grown under protected cropping systems (C.H. Stone, R.S. Sidhu, N.D. Swarts, D.C. Close) |
| Combining new rootstocks and training systems for sustainable production in deciduous tree crops (I. Iglesias, R. Botet, G. Reig) |
| Precision agriculture techniques for evaluating tart cherry tree health (C. Lilligren, M. Murray, B. Black, A. Torres-Rua, K. Wedegaertner, A. Safre, K. Papenfuss) |
| Transitioning from laboratory research to real-world application: encouraging results in the practical utilization of hyperspectral images for field detection of grapevine viruses (E. Laroche-Pinel, E. Sawyer, B. Corrales, K. Singh, K. Vasquez, M.L. Cooper, M. Fuchs, L. Brillante) |
| Traceability and fruit quality sensing on a platform harvester (D. Pelliccia, M.G. O’Connell, N. Valluri, A. Scalisi, I. Goodwin) |
| Assessment of the temperature threshold for the occurrence of sunburn damage in Vitis vinifera L. ‘Sangiovese’ (G. Allegro, C. Pastore, G. Valentini, D. Sangiorgio, R. Mazzoleni, E. Colucci, G. Bortolotti, I. Filippetti) |
| Utilizing real-time data loggers to improve export supply chains of fresh fruit from Australia (G.A. Hale, A.J. Macnish, T. Plozza, J.P. Lopresti) |
| Assessing large-scale almond field experiments using a mobile orchard phenotyping platform (N. Fleming, K. Fang, K. Shanmugam, T. Pitt, P.R. Petrie) |
| Integrated pollination traceability system for data sharing and transparency (A. Agrahari Baniya, K. Murphy, S. Williams) |
| Automated multi-system data integration implementing a novel data ecosystem: a fruit grading case study in horticulture research (M.S. Islam, S. Williams, A. Agrahari Baniya, K. Murphy) |
| Precision crop load management of apple using digital technology (T.L. Robinson, L. Gonzalez Nieto, Y. Jiang, M. Miranda Sazo, C. Kahlke) |
| The use of the Cartographer (Green Atlas) for determining physiological changes in avocado trees and consequent timing of orchard management toward fruit robustness (D. McCauley, M. Patel, D. Stefanelli) |
| The use of predictive technology to estimate yield from flower counts in high density almond (Prunus dulcis [Mill.] D.A. Webb) orchards (Z. Coetzee, A. Scalisi, J. Underwood, P. Morton, S. Scheding, I. Goodwin) |
| Different crop load management on columnar apple trees: first year results (L. Laňar, K. Scháňková, L. Nývlt) |
| Advanced methods for yield mapping in tart cherries: tank change tracking and YOLO-DeepSort fruit counting (A. Safre, A. Torres-Rua, B. Black, B. Schaffer) |
| Machine vision methods in forecast of mango crop (M. Amaral, A. Koirala, K.B. Walsh) |
| Spur leaf and fruitlet seed phytohormones of biennial apple trees affect return bloom (P. Reddy, T. Plozza, A. Scalisi, J. Hemsworth, D. Ram, M. Peavey, L. McClymont, V. Ezernieks, I. Goodwin, S. Rochfort) |
| Harvest bin placement based on machine vision data in mango orchards (H.K. Dhonju, K.B. Walsh, T.P. Bhattarai) |
| Machine vision with deep learning for in-orchard mango fruit sizing and size distribution (C. Neupane, K.B. Walsh, A. Koirala) |
| Bringing the packhouse to the orchard – a mango dreaming (K.B. Walsh) |
| Relationships of early season leaf metabolites to apple crop load and fruit quality at harvest (T. Plozza, P. Reddy, A. Scalisi, V. Ezernieks, S. Rochfort, I. Goodwin) |
| Red-flesh kiwifruit inner quality scoring with a computer vision system (M. Piani, G. Bortolotti, D. Mengoli, N. Omodei, N. Raule, F. Spinelli, L. Manfrini) |
| Grape composition assessment using NIR/SWIR hyperspectral imagery acquired from a UTV (A.E. Abioye, E. Laroche-Pinel, B. Sams, B. Corales, K. Vasquez, V. Cianciola, L. Brillante) |
| Robotics for tree fruit orchards (M. Karkee) |
| Comparison of robotic precision thinning system and commercial air-blast sprayer for flower thinning on apple trees (C. Andergassen, E. Bruni, D. Pichler, M. Peterlin, D. Facchin, F. Dallago, D. Mosca, E. Cappuzzo, F. Collaone) |
| Modern training systems for nectarine cultivation in the Republic of Korea (K. Hwang, S.J. Yang, J.H. Kwon, J. Lee, N. Jeong, S. Kim, S.A. Kim, Y. Lee, J. Park, N.M. Win, Y.S. Cho, J.H. Jun) |
| An innovative robotic platform for integrated precise orchard management (D. Mengoli, G. Bortolotti, N. Omodei, M. Piani, S. Rossi, L. Manfrini) |
| GPU computing for simulation of explicit droplet movement in orchard spray practices (J. Cao, D. Abramson, D. Carr, L. Han) |
| A computer vision approach for estimating fruit growth rate in orchards (L. Manfrini, M. Gullino, M. Piani, C. Franceschini, D. Mengoli, N. Omodei, S. Rossi, L. Corelli Grappadeli, G. Bortolotti) |
| Toward a new generation of cider apple orchards in the northeastern United States (G.M. Peck) |
| Predicting fruit set based on the fruit growth rate model with vision systems (L. Gonzalez Nieto, A. Wallis, J. Clements, M. Miranda Sazo, C. Kahlke, T.M. Kon, T.L. Robinson) |
| A low-cost RGB-D/thermal platform for monitoring fruit temperature with spatial resolution (G. Bortolotti, M. Piani, D. Mengoli, C. Franceschini, N. Omodei, S. Rossi, L. Manfrini) |
| Investigating the potential of drones to improve precision agriculture in cranberry production (G. Mupambi, R. Wicks) |
| Modelling fruit surface temperature by means of LiDAR 4D point clouds (N. Tapia-Zapata, M. Zude-Sasse) |
| Vineyard design revised from first principles, to maximise yield, wine quality and mechanisation (R. Smart, C. Candolfi, C. Collins, A. Reynolds, S. Tustin) |
| Advancements in orchard harvesting automation: the Monash Apple Retrieving System (H. Zhou, T. Liu, E. Kok, A. Yasar, D. Ranasinghe, M.Y. Wang, C. Chen) |
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