气候变化领域集成服务门户(CCPortal): Irrigation demand for fruit trees under a climate change scenario using artificial intelligence1

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DOI	10.1590/1983-40632024v5477917
	Irrigation demand for fruit trees under a climate change scenario using artificial intelligence1
	Battisti, Rafael; Neto, Waldemiro Alcantara da Silva; da Costa, Ronaldo Martins; Dapper, Felipe Puff; Elli, Elvis Felipe
发表日期	2024
ISSN	1517-6398
EISSN	1983-4063
起始页码	54
卷号	54
英文摘要	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 Vao do Parana region, Goias 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.
英文关键词	Climate resilience; water demand; machine learning; future climate scenarios
语种	英语
WOS研究方向	Agriculture ; Food Science & Technology
WOS类目	Agriculture, Multidisciplinary ; Food Science & Technology
WOS记录号	WOS:001194184600001
来源期刊	PESQUISA AGROPECUARIA TROPICAL
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/288820
作者单位	Universidade Federal de Goias; Universidade Federal de Goias; Universidade Federal de Goias; University of Arkansas System; University of Arkansas Fayetteville
推荐引用方式 GB/T 7714	Battisti, Rafael,Neto, Waldemiro Alcantara da Silva,da Costa, Ronaldo Martins,et al. Irrigation demand for fruit trees under a climate change scenario using artificial intelligence1[J],2024,54.
APA	Battisti, Rafael,Neto, Waldemiro Alcantara da Silva,da Costa, Ronaldo Martins,Dapper, Felipe Puff,&Elli, Elvis Felipe.(2024).Irrigation demand for fruit trees under a climate change scenario using artificial intelligence1.PESQUISA AGROPECUARIA TROPICAL,54.
MLA	Battisti, Rafael,et al."Irrigation demand for fruit trees under a climate change scenario using artificial intelligence1".PESQUISA AGROPECUARIA TROPICAL 54(2024).