Salta alla navigazione principale Salta alla ricerca Salta al contenuto principale

Potato cultivation in agrivoltaic systems in Northern Italy: a four-year case study on array setup, shading patterns, and yield response

Risultato della ricerca: Contributo in rivista › Articolo

Abstract

Agrivoltaic (APV) systems offer a promising approach to co-locating food and energy production; however, their effects on crop performance remain insufficiently quantified, particularly for shade-sensitive crops such as potato (Solanum tuberosum L.).\r\nThis study reports a four-year field experiment (2021–2024) conducted in Northern Italy under a REM Tec Agrovoltaico® dual-axis sun-tracking APV system. The objective was to quantify potato yield response and tuber characteristics under contrasting array setups and associated shading patterns, including the adoption of an anti-tracking (AT) management strategy during critical growth stages.\r\nExperimental treatments included a full-light control (FL), standard sun-tracking (ST1), intensified shading (ST2), and a dynamic anti-tracking strategy applied during the tuber initiation phase in 2024 in combination with ST1 (ST1+AT).\r\nYield response was strongly dependent on both shading intensity and timing. The standard sun-tracking configuration (ST1), characterized by a low mean seasonal shade depth (∼13 %), resulted in limited yield penalties (–12 % on average), whereas the higher-shade configuration (ST2) caused yield reductions exceeding 30 %.\r\nThe AT management during early tuber development partially mitigated yield losses, indicating that dynamic light management can represent an effective strategy to balance agricultural productivity and energy generation in APV systems. Weibull-based modelling of tuber size distribution (TSD) revealed a consistent shift toward smaller tubers under increasing shade, while tuber dry matter content (DMC) remained relatively stable.
Lingua originaleInglese
pagine (da-a)1-30
Numero di pagine30
RivistaSmart Agricultural Technology
Volume14
Numero di pubblicazione1
DOI
Stato di pubblicazionePubblicato - 2026

OSS delle Nazioni Unite

Questo processo contribuisce al raggiungimento dei seguenti obiettivi di sviluppo sostenibile

  1. SDG 2 - Sconfiggere la fame
    SDG 2 Sconfiggere la fame

All Science Journal Classification (ASJC) codes

  • Informatica (varie)
  • Scienze Agrarie e Biologiche Generali
  • Intelligenza Artificiale

Keywords

  • agrivoltaico
  • agrivoltaics
  • crop modelling
  • modelli colturali
  • patata
  • potato

Fingerprint

Entra nei temi di ricerca di 'Potato cultivation in agrivoltaic systems in Northern Italy: a four-year case study on array setup, shading patterns, and yield response'. Insieme formano una fingerprint unica.

Cita questo