Pubblicazioni

Agrofiliere

Pubblicazioni Internazionali IF

A blockchain implementation prototype for the electronic open source traceability of wood along the whole supply chain.

Figorilli S., Antonucci F., Costa C., Pallottino F., Raso L., Castiglione M., Pinci E., Del Vecchio D., Colle G., Proto A.R., Sperandio G., Menesatti P., 2018.
Sensors, 18, 3133.
Link: https://www.mdpi.com/1424-8220/18/9/3133

A Review on blockchain applications in the agri-food sector.

Antonucci F., Figorilli S., Costa C., Pallottino F., Raso L., Menesatti P., 2019
Journal of The Science of Food and Agriculture, 99: 6129–6138.
doi: https://doi.org/10.1002/jsfa.9912

Problematiche nella rivelazione non distruttiva dei difetti interni di tuberi di patata cv “El Beida”

Ibrahim, A., Grassi M., Lovati F., Parisi B., Spinelli L., Torricelli A., Rizzolo A., Vanoli M., 2019.
Abstract presentato al Convegno Postraccolta dei prodotti ortoflorofrutticoli, 28-29 Ottobre, Università degli Studi di Milano.

Optoelectronic proximal sensing vehicle-mounted technologies in precision agriculture: a review.

Pallottino F., Antonucci F., Costa C., Bisaglia C., Figorilli S., Menesatti P., 2019
Computers and Electronics in Agriculture, 162: 859-873.
doi: https://doi.org/10.1016/j.compag.2019.05.034

Valutazione non distruttiva del contenuto in antociani e caroteni in diversi genotipi di patata con spettroscopia di riflettanza risolta nel tempo.

Vanoli M., Spinelli L., Torricelli A., Ibrahim A., Parisi B., Lo Scalzo R., Rizzolo A., 2019.
Abstract presentato al Convegno Postraccolta dei prodotti ortoflorofrutticoli, 28-29 Ottobre, Università degli Studi di Milano.

Food traceability: a term map analysis basic review.

Violino S., Antonucci F., Pallottino F., Cecchini C., Figorilli S., Costa C., 2019.
European Food Research and Technology, 245: 2089-2099.
doi: https://doi.org/10.1007/s00217-019-03321-0

Precision aquaculture: a short review on engineering innovations.

Antonucci F., Costa C., 2020.
Aquaculture International, 28: 41–57.
doi: https://doi.org/10.1007/s10499-019-00443-w

Light drone-based application to assess soil tillage quality parameters.

Fanigliulo R., Antonucci F., Figorilli S., Pochi D., Pallottino F., Fornaciari L., Grilli R., Costa C., 2020.
Sensors, 20, 728.
doi: https://doi.org/10.3390/s20030728

Efficiency of an ANC system in the tractor cabin under controlled engine workload.

Fanigliulo, R.; Del Duca, L.; Fornaciari, L.; Grilli, R.; Tomasone, R.; Pochi, D., 2020.
Noise Control Engineering Journal, 68(5), 339-357.
doi: https://doi.org/10.3397/1/376829

Potential blockchain applications in animal production and health sector.

Makkar, H. P. S., Costa, C., 2020.
CAB Reviews, 15(035), 1-8.
doi: http://dx.doi.org/10.1079/PAVSNNR202015035

Greenhouse application of light-drone imaging technology for assessing weeds severity occurring on baby-leaf red lettuce beds approaching fresh-cutting.

Pallottino, F., Pane, C., Figorilli, S., Pentangelo, A., Antonucci., F., Costa, 2020.
Spanish Journal of Agricultural Research, 18(3), e0207.
Link: https://dialnet.unirioja.es/servlet/articulo?codigo=7698685

Canopy Index evaluation for precision management in an intensive olive orchard.

Assirelli, A., Romano, E., Bisaglia, C., Lodolini, E. M., Neri, D., Brambilla, M., 2021.
Sustainability, 13, 8266. ISSN: 2071-1050.
doi: https://doi.org/10.3390/su13158266

Spatial Variations of Vegetation Index from Remote Sensing Linked to Soil Colloidal Status.

Bascietto, M., Santangelo, E., Beni, C., 2021.
Land, 10(1), 80
doi: https://doi.org/10.3390/land10010080

From Conventional to Precision Fertilization: A Case Study on the Transition for a Small-Medium Farm.

Brambilla, M., Romano, E., Toscano, P., Cutini, M., Biocca, M., Ferré, C., Comolli, R., Bisaglia, C., 2021.
AgriEngineering, 3(2), 438–446.
doi: https://doi.org/10.3390/agriengineering3020029

Near infrared spectroscopy and aquaphotomics evaluation of the efficiency of solar dehydration processes in pineapple slices.

Cattaneo, T.M.P., Cutini, M., Stellari, A., Marinoni, L., Bisaglia, C., Brambilla, M., 2021.
Journal of Near Infrared Spectroscopy 2021, Vol. 0/0, p. 1-7, Special Issue: NIRItalia2021, accepted 4 October 2021, in press.

An open-source low-cost device coupled with an adaptative time-lag time series linear forecasting modelling for apple Trentino (Italy) precision irrigation.

Figorilli, S., Pallottino, F., Colle, G., Spada, D., Beni, C., Tocci, F., Vasta, S., Antonucci, F., Pagano, M., Fedrizzi, M., Costa, C., 2021.
Sensors, 21(8), 2656.
doi: https://doi.org/10.3390/s21082656

Functional Hyperspectral Imaging by High-Related Vegetation Indices to Track the Wide-Spectrum Trichoderma Biocontrol Activity Against Soil-Borne Diseases of Baby-Leaf Vegetables.

Manganiello, G., Nicastro, N., Caputo, M., Zaccardelli, M., Cardi, T., Pane C., 2021.
Frontiers in Plant Science, 12, 630059.
doi: https://doi.org/10.3389/fpls.2021.630059

Rose: A new host plant of Fusarium clavum (F. incarnatum-equiseti species complex 5) causing brown spot of petals.

Manganiello, G., Traversari, S., Nesi, B., Cacini, S., Pane, C., 2021.
Crop Protection, 146, 105675.
doi: https://doi.org/10.1016/j.cropro.2021.105675

Early Estimation of Olive Production from Light Drone Orthophoto, through Canopy Radius.

Ortenzi, L., Violino, S., Pallottino, F., Figorilli, S., Vasta, S., Tocci, F., Antonucci F, Imperi, G, Costa, C., 2021.
Drones, 5(4), 118.
doi: https://doi.org/10.3390/drones5040118

Light Drones for Basic In-Field Phenotyping and Precision Farming Applications: RGB Tools Based on Image Analysis.

Pallottino, F., Figorilli, S., Cecchini, C., Costa, C., 2021.
In Crop Breeding (pp. 269-278). Humana, New York, NY.

Powdery Mildew Caused by Erysiphe cruciferarum on Wild Rocket (Diplotaxis tenuifolia): Hyperspectral Imaging and Machine Learning Modeling for Non-Destructive Disease Detection.

Pane, C., Manganiello, G., Nicastro, N., Cardi, T., Carotenuto, F., 2021.
Agriculture, 11, 337.
doi: https://doi.org/10.3390/agriculture11040337

Methodology for the definition of durum wheat yield homogeneous zones by using satellite spectral indices.

Romano, E., Bergonzoli, S., Pecorella, I., Bisaglia, C., De Vita, P., 2021.
Remote Sensing, 13(11), 2036. ISSN: 2072-4292.
doi: https://doi.org/10.3390/rs13112036

Semi-Automatic Guidance vs. Manual Guidance in Agriculture: A Comparison of Work Performance in Wheat Sowing.

Scarfone, A., Picchio, R., del Giudice, A., Latterini, F., Mattei, P., Santangelo, E., Assirelli, A., 2021.
Electronics, 10(7), 825.
doi: https://doi.org/10.3390/electronics10070825

Precision Agriculture Digital Technologies for Sustainable Fungal Disease Management of Ornamental Plants.

Traversari, S., Cacini, S., Galieni, A., Nesi, B., Nicastro, N., Pane, C., 2021.
Sustainability, 13, 3707.
doi: https://doi.org/10.3390/su13073707

Pubblicazioni nazionali divulgative

Miglioramento genetico della barbabietola da zucchero, con applicazione di sensoristica finalizzato al risparmio idrico nell’ambito degli adattamenti al cambiamento climatico.

Alberti, I., Costa, C., Montanari, M., Pallottino, F., Colombo, M., Pieri, S., Ortenzi, L., Campagna G., 2020.
L’industria saccarifera italiana, 113(5), 78-88.

Alta tecnologia per difendere le baby leaf.

Pane C., Nicastro N., 2020.
Terra e Vita, 31, 40-44.

High-tech e baby-leaf.

Pane C., Nicastro N., 2020.
Colture Protette, 9, 28-33.

Prevenire le fitopatie su rucola con i sensori iperspettrali.

Manganiello, G., Pentangelo, A., Nicastro, N., Pane, C., 2021.
L’Informatore Agrario, 16, 42-44.

Nuovi sistemi di supporto a elevata integrazione.

Nesi B., Traversari, S., Pane C., Cacini S., 2021.
Colture Protette, 2, 50-53.

Nelle baby-leaf la tecnologia incontra la filiera.

Pane, C., Pallottino, F., Cortellino, G., Amodio, M.L., Cardi, T., Costa, C., 2021.
Colture Protette, 07, 26-29.

Atti di convegno

Detecting downy mildew symptoms on wild rocket leaves by hyperspectral imaging. Proceedings of the XXV Congress of the Italian Phytopathological Society (SIPaV).

Santonicola L., Villecco D., Pentangelo A., Pane C., 2019.
J Plant Pathol 101, 811–848

Application of remote sensing for phenotyping the percentage of soil coverage in durum wheat under different soil management conditions.

Azevedo, C.V.G., Pecorella, I., Fania, F., Vitale, P., Pecchioni, N., De Vita, P., 2020.
Abstract and oral presentation on XI International Symposium on Genetics and Breeding. October 26-28, Viçosa, Brazil.

First tests on a prototype device for the active control of whole-body vibrations on agricultural tractors.

Pochi, D; Fornaciari, L.; Grilli, R.; Betto, M.; Benigni, S.; Fanigliulo, R., 2020.
In: Coppola, A., Di Renzo, G.C., Altieri, G., D’Antonio, P. (Eds.) Innovative Biosystems Engineering for Sustainable Agriculture, Forestry and Food Production. MID-TERM AIIA 2019, September 12-13, Matera (Italy). “Lecture Notes in Civil Engineering” Book Series, vol. 67, 661-670. Springer Nature, Cham, Switzerland.
doi: http://dx.doi.org/10.1007/978-3-030-39299-4_72

Food quality and process investigated through water absorption variations in NIR range.

Cattaneo, T.M.P., 2021.
Oral presentation at 4^th Aquaphotomics International Conference March 20-22, Kobe Japan (on line Conference).

Remot controls of solar drier micro-plants for process standardization.

Cattaneo, T.M.P., Bisaglia, C., Cammerata, A., Stellari, A., Romano E., 2020
Proceedings at International Conference Safety Health Welfare in Agro-Systems. RAGUSA SHWA - September 16-19, Ragusa, Italy

NIRS and Aquaphotomics for the Evaluation of the Efficiency of Solar Dehydration Processes.

Cattaneo, T.M.P., Cutini, M., Stellari, A., Marinoni, L., Bisaglia, C., Brambilla, M., 2021.
Book of Abstract al Simposio Nazionale NIRItalia, pp.94-95; 24-25 febbraio (on line Conference).

Food process safety investigated through NIR water absorption variations.

Cattaneo, T. M.P., Marinoni, L., Cammerata, A., Stellari, A., Brambilla, M., Romano, E., 2021.
(9 pagine) submitted for publication in SHWA proceedings - VI RAGUSA SHWA - On Line - 15th – 16th September 2021.

Encouraging the adoption of precision fertilization technologies: steps from theory to practice.

Cutini, M., Bisaglia, C., Romano, E., Brambilla, M., Assirelli, A., 2021.
EurAgEng 2021. New Challenges for Agricultural Engineering towards a Digital World. July 5-8, Evora, Portugal.

Monitoring wild rocket Fusarium wilting by applying deep learning model to hyperspectral data.

Manganiello, G., Carotenuto, F., Nicastro, N., Cardi, T., Pane C., 2021.
Proceedings of XXVI National Congress of Italian Phytopathological Society, September 15-17, 2021, p. 9.

Hyperspectral and thermal imaging to oversee the Trichoderma biocontrol efficacy against Fusarium oxysporum f. sp. lactucae.

Manganiello, G., Nicastro, N., Ortenzi, L., Costa, C., Pallottino, F., Cardi, T., Pane, C., 2021.
Proceedings of XXVI National Congress of Italian Phytopathological Society, September 15-17, 2021, p. 36.

The Aquaphotomics and E-nose approaches to evaluate the shelf life of ready-to-eat rocket salad.

Marinoni, L., Bianchi, G., Cattaneo, T.M.P., 2021.
Abstract book of 20th International Conference on Near Infrared Spectroscopy: “Sense the real Change”, Beijing, China, 18-21 October 2021, poster – flash presentation, P101, p. 304. Online Conference.

Monitoring the uniformity of soil permeability for orchard precision irrigation.

Romano, E., Bergonzoli, S., Abu El Khair, D., Comolli, R., Ferrè, C., Bisaglia, C., 2021.
Acta Horticolturae (ISHS) 1314: 99-108 Proceedings of the International Symposium on Precision Management of Orchards and Vineyards.
https://doi.org/10.17660/ActaHortic.2021.1314.14
ISBN: 978-94-6261-312-6.

Models on micrometeorological parameters for fungal pathogen spread prediction.

Traversari, S., Battista, P., Massa, D., Nesi, B., Pane, C., Rapi, B., Romani, M., Sabatini, F., Cacini, S., 2021.
Virtual Edition of Plant Science for Climate Emergency, 7-8 giugno 2021, Book of abstract, pp. 11.

Setting up of alert systems for the early detection of fungal diseases on Rosa spp.

Traversari, S., Battista, P., Massa, D., Nesi, B., Pane, C., Rapi, B., Romani, M., Sabatini, F., Cacini, S., 2021.
XIII Giornate scientifiche SOI, Catania 22-23 giugno 2021. Acta Italus Hortus 26, pp. 223.

Digital tools for the early detection of grey mould symptoms on rose plants.

Traversari, S., Nicastro, N., Nesi, B., Nin, S., Ortenzi, L., Pallottino, F., Pane, C., Cacini, S., 2021.
XIII Giornate scientifiche SOI, Catania 22-23 giugno 2021. Acta Italus Hortus 26, pp. 215.

Agromodelli

Spatializing Crop Models for Sustainable Agriculture

Ginaldi F., Bajocco S., Bregaglio S., Cappelli G., 2019.
In: Farooq M., Pisante M. (eds) Innovations in Sustainable Agriculture. Springer, Cham, 2019.
doi: https://doi.org/10.1007/978-3-030-23169-9_20

Identifying the most promising agronomic adaptation strategies for the tomato growing systems in Southern Italy via simulation modeling

Giuliani, M.M., Gatta, G., Cappelli, G., Gagliardi, A., Donatelli, M., Fanchini, D., De Nart, D., Mongiano, G., Bregaglio, D., 2019.
European Journal of Agronomy, Volume 111, 2019, 125937, ISSN 1161-0301
doi: https://doi.org/10.1016/j.eja.2019.125937

Analysing the behaviour of a hazelnut simulation model across growing environments via sensitivity analysis and automatic calibration.

Bregaglio, S., Giustarini, L., Suarez, E., Mongiano, G., De Gregorio, T., 2020.
Agricultural Systems 181.
doi: https://doi.org/10.1016/j.agsy.2020.102794

CO₂ and H₂O fluxes due to green manuring under Mediterranean conditions.

Ferrara R.M., Martinelli N., Rana G., 2020.
Italian Journal of Agrometeorology (2): 45-53.
https://doi.org/10.13128/ijam-972

Reuse of process-based models: automatic transformation into many programming languages and simulation platforms

Midingoyi, C.A., Pradal, C., Athanasiadis, I.N, Donatelli, M., Enders, A., Fumagalli, D., Garcia, F., Holzworth, D., Hoogenboom, G., Porter, C., Raynal, H., Thorburn, P., Martre, P., 2020.
Silico Plants, Volume 2, Issue 1, 2020, diaa007, Published: 06 October 2020
doi: https://doi.org/10.1093/insilicoplants/diaa007

Susceptibility of novel Italian rice varieties to panicle blast under field conditions

Mongiano, G., Titone, P., Bregaglio, S., Tamborini, L., 2020.
bioRxiv 2020.04.23.057554
doi: https://doi.org/10.1101/2020.04.23.057554

Understanding effects of genotype × environment × sowing window interactions for durum wheat in the Mediterranean basin.

Padovan, G., Martre, P., Semenov, M.A., Masoni, A,. Bregaglio, S., et al., 2020.
Field Crops Research 259, 107969.
doi: https://doi.org/10.1016/j.fcr.2020.107969

The HADES Yield Prediction System – A Case Study on the Turkish Hazelnut Sector.

Bregaglio, S., Fischer, K., Ginaldi, F., Valeriano, T.T.B., Giustarini, L., 2021.
Frontiers in Plant Science.
doi: https://doi.org/10.3389/fpls.2021.665471

Comparing process-based wheat growth models in their simulation of yield losses caused by plant diseases.

Bregaglio, S., Willocquet, L., Kersebaum, K.C., Asseng, S., Savary, S., 2021.
Field Crops Research 265, 108108.
doi: https://doi.org/10.1016/j.fcr.2021.108108

Model-based evaluation of climate change impacts on rice grain quality in the main European rice district.

Cappelli, G., Bregaglio, S., 2021.
Food and Energy Security
doi: https://doi.org/10.1002/fes3.307

Ammonia, nitrous oxide, carbon dioxide, and water vapor fluxes after green manuring of faba bean under Mediterranean climate.

Ferrara R.M., Carozzi M., Decuq C., Loubet B., Finco A., Marzuoli R., Gerosa G., Di Tommasi P., Magliulo V., Rana G., 2021.
Agriculture, Ecosystems and Environment, 315, 107439.
https://doi.org/10.1016/j.agee.2021.107439

Limitations of an Eddy-Covariance System in Measuring Low Ammonia Fluxes.

Ferrara R.M., Di Tommasi P., Famulari D., Rana G., 2021.
Boundary-Layer Meteorology, 180, 173-186.
https://doi.org/10.1007/s10546-021-00612-6

Agricultural land suitability in a changing climate: a case study for hazelnut in Australia.

Jha P.J., Materia S., Zizzi G., Costa Saura J., Trabucco A., Evans J., Bregaglio S., 2021.
Agricultural Systems 186, 102982.
doi: https://doi.org/10.1016/j.agsy.2020.102982

Representativeness of Carbon Dioxide Fluxes Measured by Eddy Covariance over a Mediterranean Urban District with Equipment Setup Restrictions.

Rana G., Martinelli N.; Famulari D., Pezzati F., Muschitiello C.; Ferrara R.M., 2021.
Atmosphere 2021, 12, 197.
https://doi.org/10.3390/atmos12020197

A process-based model to simulate sugarcane orange rust severity from weather data in Southern Brazil.

Valeriano, T.T.B., de Souza Rolim, G., Manici, L.M., Giustarini, L., Bregaglio, S., 2021.
International Journal of Biometeorology 65(12), 2037–2051.
doi: https://link.springer.com/article/10.1007/s00484-021-02162-5

Varietal susceptibility overcomes climate change effects on the future trends of rice blast disease in Northern Italy.

Wang, H., Mongiano, G., Fanchini, D., Titone, P., Tamborini, L., Bregaglio, S., 2021.
Agricultural Systems 193, 103223
doi: https://doi.org/10.1016/j.agsy.2021.103223

Which are the most favourable conditions for reducing soil CO2 emissions with no-tillage? Results from a meta-analysis.

Bregaglio S., Mongiano G., Ferrara R.M., Ginaldi F., Lagomarsino A., Rana G., 2022.
International Soil and Water Conservation Research, ISSN 2095-6339.
https://doi.org/10.1016/j.iswcr.2022.05.003

Soil respiration during three cropping cycles of durum wheat under different tillage conditions in a Mediterranean environment.

Ferrara R.M., Campi, P., Muschitiello C., Leogrande R., Vonella A.V., Ventrella D., Rana G., 2022.
Soil Use and Management, 00,1–17.
https://doi.org/10.1111/sum.12802

Selvicoltura

2023

Foreste digitali: innovazioni e opportunità.

Corona P., Costa C., Barbetti R., Bergante S., Cesaretti L., Chiarabaglio, P.M., Chirici G., Giannetti F., Ferrara C., Gennaro M., Guasti M., Laschi A., Mariotti B., Marra E., Mattioli W., Puletti N., Marchi E.
Forest@ (2023) 20: 52-60. doi: https://doi.org/10.3832/efor4353-020

Mapping Understory Vegetation Density in Mediterranean Forests: Insights from Airborne and Terrestrial Laser Scanning Integration

Ferrara C., Puletti N., Guasti M., Roberto Scotti R.
Sensors 2023, 23, 511. https://doi.org/10.3390/s23010511

Crossing3dforest: an R package for evaluating empty space structure in forest ecosystems

Puletti N., Castronuovo R., Ferrara C.
https://doi.org/10.1101/2023.02.01.526548

Tavole di cubatura e laser scanner terrestre: l’innovazione tecnologica al servizio della dendrometria

Puletti N., Guasti M., Innocenti S., Scotti R.
Forest@ (2023) 20: 61-66
doi: https://doi.org/10.3832/efor4401-020

Recent applications of smart technologies for monitoring the sustainability of forest operations

Venanzi R., Latterini F., Civitarese V., Picchio R.
Forests (2023) 14, 1503
doi: https://doi.org/10.3390/f14071503

2022

Mobile Laser Scanner understory characterization: an exploratory study on hazel grouse in Italian Alps

Galluzzi M., Puletti N., Armanini M., Chirichella R., Mustoni A.
https://doi.org/10.1101/2022.04.26.489487

Wall‐to‐Wall Mapping of Forest Biomass and Wood Volume Increment in Italy

Giannetti F., Chirici G., Vangi E., Corona P., Maselli F., Chiesi M., D’Amico G., Puletti N.
Forests 2022, 13, 1989. https://doi.org/10.3390/f13121989

Enhancing wall-to-wall forest structure mapping through detailed co-registration of airborne and terrestrial laser scanning data in Mediterranean forests

Puletti N., Grotti M., Masini A., Bracci A., Ferrara C.
Ecological Informatics 67 (2022) 101497
https://doi.org/10.1016/j.ecoinf.2021.101497

A georeferenced dataset of nocturnal macrolepidoptera: A tool for forest management and biodiversity conservation

Scalercio S., Di Marco C., Puletti N.
Data in Brief 41 (2022) 107882
https://doi.org/10.1016/j.dib.2022.107882

2021

Innovative system for monitoring and mapping loades in logs forwarding

Civitarese V., Figorilli S., Acampora A., Sperando G., Assirelli A., Scarafone A., Bascietto M.
29th European Biomass Conference and Exibition, 26-29 April 2021

Misurazione e mappatura in continuo dei carichi trasportati: Proposta di un sistema implementabile anche su mezzi meccanici tradizionali

Civitarese V., Figorilli S., Scarafone A.
Sherwood, 250, Gennaio-Febbraio 2021, 21-24

Traditional and TLS-based forest inventories of beech and pine forests located in Sila National

Park: A dataset

Puletti N., Grotti M., Ferrara C., Scalercio S.
Data in Brief Volume 34, February 2021, 106617
https://doi.org/10.1016/j.dib.2020.106617

Characterizing subcanopy structure of Mediterranean forests by terrestrial laser scanning data

Puletti N., Galluzzi M., Grotti M., Ferrara C.
Remote Sensing Applications: Society and Environment Volume 24, November 2021, 100620
https://doi.org/10.1016/j.rsase.2021.100620

2020

Lidar-based estimates of aboveground biomass through ground, aerial, and satellite observation: a case study in a Mediterranean forest

Puletti N., Grotti M., Ferrara C., Chianucci F.
1931-3195/2020/$28.00 © 2020 SPIE
Journal of Applied Remote Sensing 044501-1 Oct–Dec 2020 • Vol. 14(4)

Zootecnia

Viticoltura

Delevopment of a kit to perform treatments with innovative technology, based on variable and optimized dose according to the canopy.

Storchi P., Perria R., D’Arcangelo M.E.M., Vieri M., Sarri D., Carnevali P., Cricco J., 2019.
Abstract Int. Symp. ISHS Precision Management of Orchard and Vineyards, 7-11 ottobre, Palermo: 45-46.

Il futuro preciso del vigneto

Storchi, P., Velasco, R., 2019.
pubblicato su Terra e Vita - rivista n.13 del 2019

Analysis of performances of a commercial three-dimensional (3D) reconstruction camera.

Giora, D., Pezzuolo, A., Tomasi, D., Marinello, F., Sartori, L., 2020.
Proceedings IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020: 83–88.

On-The-go variable rate fertilizer application on vineyard using a proximal spectral sensor.

Sozzi, M., Bernardi, E., Kayad, A., Marinello F., Boscaro D., Cogato A., Gasparini, F., Tomasi, D., 2020.
Proceedings IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020: 343–347.

Viticoltura "digitale" per il miglioramento della sostenibilità delle produzioni

Storchi, P., Velasco, R., 2020.
pubblicato su RRN MAGAZINE, Rivista della Rete Rurale Nazionale, N. 9 del 31 gennaio 2020

Climate change in a typical Apulian region for table grape production: Spatialisation of bioclimatic indices, classification and future scenarios.

Alba V., Gentilesco G., Tarricone L., 2021.
Oeno One, 51(3): 317–336. doi: https://doi.org/10.20870/oeno-one.2021.55.3.4733

State of the Art of Monitoring Technologies and Data Processing for Precision Viticulture.

Ammoniaci M., Kartsiotis S.P., Perria R., Storchi P., 2021.
Agriculture, 11, 201. doi: https://doi.org/10.3390/agriculture11030201

Rapid and non-destructive phenolic maturity assessment in vineyard from RGB imagery acquired by UAV platform.

Di Gennaro S.F., Agati G., Berton A., Cavigli L., Fabbrini L., Perria R., Storchi P., Tuccio L., Zombardo A., Matese A., 2021.
13^th European Precision Agriculture 2021, Ed. J.V. Stafford, Wageningen Academic Publishers: 485-492. doi: https://doi.org/10.3920/978-90-8686-916-9_58

Valutazione della stabilità degli aggregati di suoli a vigneto tramite app su smartphone.

Andrenelli M. C., Becagli C., Bigiotti G., Valboa G., Pellegrini S., Vignozzi N., 2022.
Abstract IX Convegno Nazionale Viticoltura - CONAVI, Conegliano (TV), 13-15 giugno.

Messa a punto di una procedura speditiva per la quantificazione dell’erosione in vigneto.

Andrenelli M. C., Fila G., Vignozzi N, Pellegrini S., 2022.
IX Convegno Nazionale Viticoltura - CONAVI, Conegliano (TV) 13-15 giugno.