人工智能作为混合栎树种高径可靠预测的替代建模策略

IF 3 2区农林科学 Q1 AGRONOMY

TURKISH JOURNAL OF AGRICULTURE AND FORESTRY Pub Date : 2023-01-01 DOI:10.55730/1300-011x.3081

M. Diamantopoulou, R. Özçelik, Burak Koparan, Onur Alkan

引用次数: 0

摘要

MARIA J. DIAMANTOPOULOU;斋月OZCELİK;KOPARAN BURAK;ALKAN, ONUR (2023)“人工智能作为混合橡树物种可靠高度直径预测的替代建模策略，”土耳其农业和林业杂志:第47卷:第2期，第10条。https://doi.org/ 10.55730 / 1300 - 011 x.3081可在:https://journals.tubitak.gov.tr/agriculture/vol47/iss2/10

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Artificial intelligence as an alternative modelling strategy for reliable height-diameter predictions of mixed-oaks species

Recommended Citation DIAMANTOPOULOU, MARIA J.; ÖZÇELİK, RAMAZAN; KOPARAN, BURAK; and ALKAN, ONUR (2023) "Artificial intelligence as an alternative modelling strategy for reliable height-diameter predictions of mixed-oaks species," Turkish Journal of Agriculture and Forestry: Vol. 47: No. 2, Article 10. https://doi.org/ 10.55730/1300-011X.3081 Available at: https://journals.tubitak.gov.tr/agriculture/vol47/iss2/10

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来源期刊

TURKISH JOURNAL OF AGRICULTURE AND FORESTRY 农林科学-农艺学

CiteScore

4.20

自引率

6.90%

发文量

审稿时长

12 months

期刊介绍： The Turkish Journal of Agriculture and Forestry is published electronically 6 times a year by the Scientific and Technological Research Council of Turkey (TÜBİTAK). It publishes, in English, full-length original research papers and solicited review articles on advances in agronomy, horticulture, plant breeding, plant protection, plant molecular biology and biotechnology, soil science and plant nutrition, bionergy and energy crops, irrigation, agricultural technologies, plant-based food science and technology, forestry, and forest industry products.