Ciência e Agrotecnologia最新文献

筛选
英文 中文
Machine learning allied to green tech analysis: Pioneering approaches for remineralizers and silicate fertilizers chemical composition assessment 与绿色技术分析相结合的机器学习:再矿化剂和硅酸盐肥料化学成分评估的开创性方法
Ciência e Agrotecnologia Pub Date : 2025-01-01 DOI: 10.1590/1413-7054202549011825
Renata Andrade, Júlia Gonçalves Aguiar, Magda Bergmann, Liliane Lavoura Bueno Sachs, Sérgio Henrique Godinho Silva, Alberto Vasconcellos Inda, Marco Aurélio Carbone Carneiro, Nilton Curi
{"title":"Machine learning allied to green tech analysis: Pioneering approaches for remineralizers and silicate fertilizers chemical composition assessment","authors":"Renata Andrade, Júlia Gonçalves Aguiar, Magda Bergmann, Liliane Lavoura Bueno Sachs, Sérgio Henrique Godinho Silva, Alberto Vasconcellos Inda, Marco Aurélio Carbone Carneiro, Nilton Curi","doi":"10.1590/1413-7054202549011825","DOIUrl":"https://doi.org/10.1590/1413-7054202549011825","url":null,"abstract":"ABSTRACT Traditional methods for the chemical characterization of agrominerals remain costly and generate chemical waste, especially for large-scale applications. Portable X-ray fluorescence (pXRF) spectrometry has recently emerged as a tool for rapid material analysis. However, pXRF applications to remineralizers (REM), silicate fertilizers (SiF), and other agrominerals remain unexplored. This study aimed to: i) apply pXRF data to characterize agrominerals, and ii) assess six machine learning algorithms [projection pursuit regression (PPR), partial least squares (PLS), random forest (RF), support vector machine (SVM), extreme gradient boosting (XGB), and cubist regression (CR)] for agrominerals chemical composition assessment. 53 REM and SiF samples underwent traditional wet-chemical analysis (ICM 40B method) and triplicate pXRF scanning (60 s). The dataset was randomly separated into modeling (70%) and validation (30%) sub-datasets, and the machine learning algorithms were trained using k-fold cross-validation. Results indicated highly accurate predictions. Among the 49 predicted elements, 41 showed high accuracy (Al, Ba, Be, Bi, Ca, Ce, Co, Cr, Cs, Cu, Fe, Ga, Ge, Hf, In, K, La, Li, Lu, Mg, Mn, Mo, Na, Nb, Ni, P, Pb, Rb, S, Sc, Sr, Tb, Th, Ti, Tl, U, V, Y, Yb, Zn, and Zr) with R2 above 0.80, and RPD values ranging from 1.31 to 23.0. The presence of nutrients such as Ca, Mg, K, S, Fe, Mn, Zn, and P stood out. CR outperformed the other algorithms. The study demonstrates the potential of using pXRF combined with machine learning algorithms for accurate, rapid, cheap and environmentally friendly prediction of the chemical composition of agrominerals.","PeriodicalId":10191,"journal":{"name":"Ciência e Agrotecnologia","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147882420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
In vitro propagation and root anatomical features of Phragmipedium kovachii J.T. Atwood, Dalström & Ric.Fernández [j] t . Atwood, Dalström & Ric.]费尔南德斯
Ciência e Agrotecnologia Pub Date : 2025-01-01 DOI: 10.1590/1413-7054202549002125
Muthab Hussien, О. И. Молканова, Vladimir Koval
{"title":"In vitro propagation and root anatomical features of Phragmipedium kovachii J.T. Atwood, Dalström & Ric.Fernández","authors":"Muthab Hussien, О. И. Молканова, Vladimir Koval","doi":"10.1590/1413-7054202549002125","DOIUrl":"https://doi.org/10.1590/1413-7054202549002125","url":null,"abstract":"ABSTRACT Phragmipedium kovachii is a renowned orchid for its striking flowers and ecological significance. This study aimed to develop an efficient protocol for its micropropagation and conservation. Shoots measuring 0.7-1.0 cm were used as explants and cultured on half-strength Murashige and Skoog (MS) medium with various combinations of 6-benzylaminopurine (6-BAP) and indole-3-acetic acid (IAA), with or without 100 mL L-¹ coconut water. The highest protocorm-like bodies (PLBs) formation rate (96.7%) and the maximum PLBs per explant (12.58 ± 0.33) were obtained on medium containing 2.0 mg L-¹ 6-BAP, 0.6 mg L-¹ IAA, and coconut water. During the regeneration phase, PLBs regenerated on media supplemented with either 0.5 mg L-¹ 6-BAP and coconut water, as well as those on media containing 0.5 mg L-¹ meta-Topolin (mT) and banana homogenate, produced optimal plantlets for subsequent rooting stages. Rooting was enhanced using 1.0 mg L-¹ IAA with coconut water or 0.5 mg L-¹ indole-3-butyric acid (IBA) with banana homogenate. Plantlets grown on coconut water-supplemented media developed longer roots with a pentarch stele, well-differentiated sclerenchyma tissue, and numerous metaxylem vessels, exhibiting the highest survival rate. In contrast, those cultured on banana homogenate produced thicker roots with a polyarch stele. Acclimatization was successfully achieved using substrates consisting of equal proportions of bark, perlite, and peat, as well as a mixture of soil, sand and perlite (2:1:1), ensuring high ex vitro survival rates (87 and 80%, respectively). This study provides an effective protocol for the ex situ conservation and large-scale production of P. kovachii plants.","PeriodicalId":10191,"journal":{"name":"Ciência e Agrotecnologia","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.scielo.br/j/cagro/a/PxBCfB66x9j94cdpftphbPx/?lang=en&format=pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147882516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书