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Precision AgricultureSCIE

國際簡(jiǎn)稱：PRECIS AGRIC 參考譯名：精準(zhǔn)農(nóng)業(yè)

中科院分區(qū)
2區(qū)
CiteScore分區(qū)
Q1
JCR分區(qū)
Q1

基本信息：: ISSN：1385-2256; E-ISSN：1573-1618; 是否OA：未開放; 是否預(yù)警：否; TOP期刊：是

出版信息：: 出版地區(qū)：NETHERLANDS; 出版商：Springer US; 出版語言：English; 出版周期：Bimonthly; 出版年份：1999; 研究方向：農(nóng)林科學(xué)-農(nóng)業(yè)綜合

評(píng)價(jià)信息：: 影響因子：5.4; H-index：51; CiteScore指數(shù)：12.3; SJR指數(shù)：1.192; SNIP指數(shù)：1.902

發(fā)文數(shù)據(jù)：: Gold OA文章占比：33.23%; 研究類文章占比：95.58%; 年發(fā)文量：113; 自引率：0.0806...; 開源占比：0.2776; 出版撤稿占比：0; 出版國人文章占比：0.12; OA被引用占比：0.1459...

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英文簡(jiǎn)介期刊介紹 CiteScore數(shù)據(jù) 中科院SCI分區(qū) JCR分區(qū) 發(fā)文數(shù)據(jù) 常見問題

英文簡(jiǎn)介Precision Agriculture期刊介紹

Precision Agriculture promotes the most innovative results coming from the research in the field of precision agriculture. It provides an effective forum for disseminating original and fundamental research and experience in the rapidly advancing area of precision farming.

There are many topics in the field of precision agriculture; therefore, the topics that are addressed include, but are not limited to:

Natural Resources Variability: Soil and landscape variability, digital elevation models, soil mapping, geostatistics, geographic information systems, microclimate, weather forecasting, remote sensing, management units, scale, etc.

Managing Variability: Sampling techniques, site-specific nutrient and crop protection chemical recommendation, crop quality, tillage, seed density, seed variety, yield mapping, remote sensing, record keeping systems, data interpretation and use, crops (corn, wheat, sugar beets, potatoes, peanut, cotton, vegetables, etc.), management scale, etc.

Engineering Technology: Computers, positioning systems, DGPS, machinery, tillage, planting, nutrient and crop protection implements, manure, irrigation, fertigation, yield monitor and mapping, soil physical and chemical characteristic sensors, weed/pest mapping, etc.

Profitability: MEY, net returns, BMPs, optimum recommendations, crop quality, technology cost, sustainability, social impacts, marketing, cooperatives, farm scale, crop type, etc.

Environment: Nutrient, crop protection chemicals, sediments, leaching, runoff, practices, field, watershed, on/off farm, artificial drainage, ground water, surface water, etc.

Technology Transfer: Skill needs, education, training, outreach, methods, surveys, agri-business, producers, distance education, Internet, simulations models, decision support systems, expert systems, on-farm experimentation, partnerships, quality of rural life, etc.

期刊簡(jiǎn)介Precision Agriculture期刊介紹

《Precision Agriculture》自1999出版以來，是一本農(nóng)林科學(xué)優(yōu)秀雜志。致力于發(fā)表原創(chuàng)科學(xué)研究結(jié)果，并為農(nóng)林科學(xué)各個(gè)領(lǐng)域的原創(chuàng)研究提供一個(gè)展示平臺(tái)，以促進(jìn)農(nóng)林科學(xué)領(lǐng)域的的進(jìn)步。該刊鼓勵(lì)先進(jìn)的、清晰的闡述，從廣泛的視角提供當(dāng)前感興趣的研究主題的新見解，或?qū)彶槎嗄陙砟硞€(gè)重要領(lǐng)域的所有重要發(fā)展。該期刊特色在于及時(shí)報(bào)道農(nóng)林科學(xué)領(lǐng)域的最新進(jìn)展和新發(fā)現(xiàn)新突破等。該刊近一年未被列入預(yù)警期刊名單，目前已被權(quán)威數(shù)據(jù)庫SCIE收錄，得到了廣泛的認(rèn)可。

該期刊投稿重要關(guān)注點(diǎn)：

預(yù)計(jì)審稿時(shí)間： 24周，或約稿
國際TOP期刊
農(nóng)林科學(xué)
AGRICULTURE, MULTIDISCIPLINARY
SCIE
中科院2區(qū)
非預(yù)警

Cite Score數(shù)據(jù)（2024年最新版）Precision Agriculture Cite Score數(shù)據(jù)

CiteScore：12.3
SJR：1.192
SNIP：1.902

學(xué)科類別	分區(qū)	排名	百分位
大類：Agricultural and Biological Sciences 小類：General Agricultural and Biological Sciences	Q1	8 / 221	96%

CiteScore 是由Elsevier(愛思唯爾)推出的另一種評(píng)價(jià)期刊影響力的文獻(xiàn)計(jì)量指標(biāo)。反映出一家期刊近期發(fā)表論文的年篇均引用次數(shù)。CiteScore以Scopus數(shù)據(jù)庫中收集的引文為基礎(chǔ)，針對(duì)的是前四年發(fā)表的論文的引文。CiteScore的意義在于，它可以為學(xué)術(shù)界提供一種新的、更全面、更客觀地評(píng)價(jià)期刊影響力的方法，而不僅僅是通過影響因子(IF)這一單一指標(biāo)來評(píng)價(jià)。

歷年Cite Score趨勢(shì)圖

中科院SCI分區(qū)Precision Agriculture 中科院分區(qū)

中科院 2023年12月升級(jí)版 綜述期刊：否 Top期刊：否

大類學(xué)科	分區(qū)	小類學(xué)科	分區(qū)
農(nóng)林科學(xué)	2區(qū)	AGRICULTURE, MULTIDISCIPLINARY 農(nóng)業(yè)綜合	2區(qū)

中科院分區(qū)表 是以客觀數(shù)據(jù)為基礎(chǔ)，運(yùn)用科學(xué)計(jì)量學(xué)方法對(duì)國際、國內(nèi)學(xué)術(shù)期刊依據(jù)影響力進(jìn)行等級(jí)劃分的期刊評(píng)價(jià)標(biāo)準(zhǔn)。它為我國科研、教育機(jī)構(gòu)的管理人員、科研工作者提供了一份評(píng)價(jià)國際學(xué)術(shù)期刊影響力的參考數(shù)據(jù)，得到了全國各地高校、科研機(jī)構(gòu)的廣泛認(rèn)可。

中科院分區(qū)表 將所有期刊按照一定指標(biāo)劃分為1區(qū)、2區(qū)、3區(qū)、4區(qū)四個(gè)層次，類似于“優(yōu)、良、及格”等。最開始，這個(gè)分區(qū)只是為了方便圖書管理及圖書情報(bào)領(lǐng)域的研究和期刊評(píng)估。之后中科院分區(qū)逐步發(fā)展成為了一種評(píng)價(jià)學(xué)術(shù)期刊質(zhì)量的重要工具。

歷年中科院分區(qū)趨勢(shì)圖

JCR分區(qū)Precision Agriculture JCR分區(qū)

2023-2024 年最新版

按JIF指標(biāo)學(xué)科分區(qū)	收錄子集	分區(qū)	排名	百分位
學(xué)科：AGRICULTURE, MULTIDISCIPLINARY	SCIE	Q1	8 / 89	91.6%

按JCI指標(biāo)學(xué)科分區(qū)	收錄子集	分區(qū)	排名	百分位
學(xué)科：AGRICULTURE, MULTIDISCIPLINARY	SCIE	Q1	4 / 89	96.07%

JCR分區(qū)的優(yōu)勢(shì)在于它可以幫助讀者對(duì)學(xué)術(shù)文獻(xiàn)質(zhì)量進(jìn)行評(píng)估。不同學(xué)科的文章引用量可能存在較大的差異，此時(shí)單獨(dú)依靠影響因子(IF)評(píng)價(jià)期刊的質(zhì)量可能是存在一定問題的。因此，JCR將期刊按照學(xué)科門類和影響因子分為不同的分區(qū)，這樣讀者可以根據(jù)自己的研究領(lǐng)域和需求選擇合適的期刊。

歷年影響因子趨勢(shì)圖

發(fā)文數(shù)據(jù)

2023-2024 年國家/地區(qū)發(fā)文量統(tǒng)計(jì)

國家/地區(qū)數(shù)量
USA76
CHINA MAINLAND40
Spain23
Brazil22
GERMANY (FED REP GER)21
Australia20
France19
England13
Italy13
Canada9

本刊中國學(xué)者近年發(fā)表論文

1、A novel sampling design considering the local heterogeneity of soil for farm field-level mapping with multiple soil properties
Author: Wang, Yongji; Qi, Qingwen; Bao, Zhengyi; Wu, Lili; Geng, Qingling; Wang, Jun

Journal: PRECISION AGRICULTURE. 2023; Vol. 24, Issue 1, pp. 1-22. DOI: 10.1007/s11119-022-09926-y
2、Deep convolutional neural networks for estimating maize above-ground biomass using multi-source UAV images: a comparison with traditional machine learning algorithms
Author: Yu, Danyang; Zha, Yuanyuan; Sun, Zhigang; Li, Jing; Jin, Xiuliang; Zhu, Wanxue; Bian, Jiang; Ma, Li; Zeng, Yijian; Su, Zhongbo

Journal: PRECISION AGRICULTURE. 2023; Vol. 24, Issue 1, pp. 92-113. DOI: 10.1007/s11119-022-09932-0
3、Pineapple (Ananas comosus) fruit detection and localization in natural environment based on binocular stereo vision and improved YOLOv3 model
Author: Liu, Tian-Hu; Nie, Xiang-Ning; Wu, Jin-Meng; Zhang, Di; Liu, Wei; Cheng, Yi-Feng; Zheng, Yan; Qiu, Jian; Qi, Long

Journal: PRECISION AGRICULTURE. 2023; Vol. 24, Issue 1, pp. 139-160. DOI: 10.1007/s11119-022-09935-x
4、Predicting the ripening time of 'Hass' and 'Shepard' avocado fruit by hyperspectral imaging
Author: Han, Yifei; Bai, Shahla Hosseini; Trueman, Stephen J.; Khoshelham, Kourosh; Kamper, Wiebke

Journal: PRECISION AGRICULTURE. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s11119-023-10022-y
5、Influences of wind vortex intensity of rotor UAV on rice morphology and yield
Author: Wei, Xu; Zhang, Zhixun; Li, Huifen; Wu, Han; Lv, Jia; Wu, Longmei; Zhou, Meizhen; Li, Jiyu

Journal: PRECISION AGRICULTURE. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s11119-023-10017-9
6、UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat
Author: Fei, Shuaipeng; Hassan, Muhammad Adeel; Xiao, Yonggui; Su, Xin; Chen, Zhen; Cheng, Qian; Duan, Fuyi; Chen, Riqiang; Ma, Yuntao

Journal: PRECISION AGRICULTURE. 2023; Vol. 24, Issue 1, pp. 187-212. DOI: 10.1007/s11119-022-09938-8
7、Efficient tomato harvesting robot based on image processing and deep learning
Author: Miao, Zhonghua; Yu, Xiaoyou; Li, Nan; Zhang, Zhe; He, Chuangxin; Li, Zhao; Deng, Chunyu; Sun, Teng

Journal: PRECISION AGRICULTURE. 2023; Vol. 24, Issue 1, pp. 254-287. DOI: 10.1007/s11119-022-09944-w
8、Grape leaf disease identification with sparse data via generative adversarial networks and convolutional neural networks
Author: Chen, Yiping; Wu, Qiufeng

Journal: PRECISION AGRICULTURE. 2023; Vol. 24, Issue 1, pp. 235-253. DOI: 10.1007/s11119-022-09941-z