A new digital technology to reduce fungicide use in vineyards.

Downy mildew Leaf area index PocketLAI Powdery mildew Spray drift

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
27 Jan 2024
Historique:
received: 29 09 2023
revised: 22 01 2024
accepted: 24 01 2024
medline: 30 1 2024
pubmed: 30 1 2024
entrez: 29 1 2024
Statut: aheadofprint

Résumé

There is a growing demand for technologies able to decrease the environmental impact of agricultural activities without penalizing quali-quantitative characteristics of productions. In the case of viticulture, one of the key problems is represented by the spray drift during fungicide treatments. The diffusion in operational farming contexts of technologies based on variable-rate and recycling tunnel sprayers is often limited by their cost and, for the latter, by their size and lower maneuverability, representing clear disadvantages especially in case of small farms or in hilly and mountain areas. We present a new digital technology implemented in a mobile app that supports the reduction of both the number of treatments and the amount of fungicide distributed per treatment. The technology is based (i) on an alert system that prevents unneeded treatments in case of no risk of infection and (ii) on the quantification of the optimal amounts of active ingredients and dilution water based on the sprayer type/settings and on leaf area index values estimated with a common smartphone. An internal database allows to adjust (in case of need) the active ingredient dose to assure full compliance with product's legal requirements. In case of heterogeneity in leaf area index values inside the vineyard, prescription maps are generated. Results from a 2-year case study in a vineyard in northern Italy are shown, where the system allowed to reduce by 26.4 % and 27.4 % (means of two years), respectively, the seasonal amounts of fungicides and dilution water, and by 43.8 % the copper content in must. The high usability of the technology proposed (just a common smartphone is needed) and the fact that it does not require updating the farm machine park highlights the suitability of the proposed solution for operational farming conditions, including premium vine production districts often characterized by small farms in hilly areas.

Identifiants

pubmed: 38286281
pii: S0048-9697(24)00607-7
doi: 10.1016/j.scitotenv.2024.170470
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

170470

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Auteurs

Livia Paleari (L)

Università degli Studi di Milano, ESP, Cassandra lab, via Celoria 2, 20133 Milano, Italy. Electronic address: livia.paleari@unimi.it.

Ermes Movedi (E)

Università degli Studi di Milano, ESP, Cassandra lab, via Celoria 2, 20133 Milano, Italy.

Marco Foi (M)

Università degli Studi di Milano, ESP, Cassandra lab, via Celoria 2, 20133 Milano, Italy.

Andrea Pilatti (A)

Università degli Studi di Milano, ESP, Cassandra lab, via Celoria 2, 20133 Milano, Italy.

Fosco M Vesely (FM)

Università degli Studi di Milano, ESP, Cassandra lab, via Celoria 2, 20133 Milano, Italy.

Chiara Rusconi (C)

Università degli Studi di Milano, ESP, Cassandra lab, via Celoria 2, 20133 Milano, Italy.

Lucio Brancadoro (L)

Università degli Studi di Milano, DISAA, via Celoria 2, 20133 Milano, Italy.

Stefano Poni (S)

Università Cattolica del Sacro Cuore, DIPROVES, via Emilia Parmense 84, 29122 Piacenza, Italy.

Jacopo Bacenetti (J)

Università degli Studi di Milano, ESP, Cassandra lab, via Celoria 2, 20133 Milano, Italy.

Roberto Confalonieri (R)

Università degli Studi di Milano, ESP, Cassandra lab, via Celoria 2, 20133 Milano, Italy.

Classifications MeSH