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Irrigation demand for fruit trees under a climate change scenario using artificial intelligence ; Demanda de irrigação para frutíferas sob cenário de mudanças climáticas utilizando-se inteligência artificial

Title: Irrigation demand for fruit trees under a climate change scenario using artificial intelligence ; Demanda de irrigação para frutíferas sob cenário de mudanças climáticas utilizando-se inteligência artificial
Authors: Battisti, Rafael; Silva Neto, Waldemiro Alcântara da; Costa, Ronaldo Martins da; Dapper, Felipe Puff; Elli, Elvis Felipe
Source: Pesquisa Agropecuária Tropical [Agricultural Research in the Tropics]; v. 54 (2024); e77917 ; Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics); v. 54 (2024); e77917 ; Pesquisa Agropecuária Tropical; v. 54 (2024); e77917 ; 1983-4063
Publisher Information: Escola de Agronomia - Universidade Federal de Goiás
Publication Year: 2024
Collection: Universidade Federal de Goiás: The Portal of Journals from UFG
Description: Fruit growing, especially in family farming, has a significant income potential in small areas, but climate change is a major challenge. This study aimed to quantify the irrigation requirements for citrus, papaya, mango and passion fruit, in the Vão do Paranã region, Goiás state, Brazil. The climate data encompassed the observed periods from 1961 to 2020 and future scenarios from 2021 to 2100. The irrigation demand was obtained from the daily water balance, while the reference evapotranspiration (ETo) was estimated using the Penman-Monteith method and then compared with an artificial intelligence tool. The future scenarios indicated a higher increase for air temperature and a lower increase for rainfall. The ETo levels raised from 1,528 mm year-1, in 1991-2020, to 1,614-1,656 mm year-1, in 2021-2050. The artificial intelligence performance was limited in the ETo estimation, with a mean absolute error of 0.71 mm day-1 and an “r” value of 0.59, when considering the air temperature as the input variable. For the 2021-2050 period, when compared with 1991-2020, there was an increase in irrigation demand, in which, under the extreme scenario, the citrus demand reached 690 mm year-1 (+11 %); papaya (+10 %) and passion fruit (+5 %) surpassed 800 mm year-1; and mango reached 491 mm year-1 (+14 %). An increase in demand for irrigation was observed, with management alternatives in association with strategies for maximum cultivation area based on water supply being recommended. KEYWORDS: Climate resilience, water demand, machine learning, future climate scenarios. ; A fruticultura, especialmente na agricultura familiar, possui grande potencial de renda em pequenas áreas, mas as mudanças climáticas são um grande desafio. Objetivou-se quantificar a demanda de irrigação para citros, mamão, manga e maracujá, na região do Vão do Paranã, Goiás. Os dados climáticos compreenderam os períodos observados de 1961 a 2020 e cenários futuros de 2021 a 2100. A demanda por irrigação foi obtida com base no balanço hídrico diário, enquanto a ...
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
Relation: https://revistas.ufg.br/pat/article/view/77917/40915; https://revistas.ufg.br/pat/article/view/77917
Availability: https://revistas.ufg.br/pat/article/view/77917
Rights: Copyright (c) 2024 Pesquisa Agropecuária Tropical
Accession Number: edsbas.7AFD01B7
Database: BASE