Precision Agriculture SCIE

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

主要研究方向：農(nóng)林科學(xué)-農(nóng)業(yè)綜合非預(yù)警期刊審稿周期： 24周，或約稿

《精準(zhǔn)農(nóng)業(yè)》(Precision Agriculture)是一本由Springer US出版的以農(nóng)林科學(xué)-農(nóng)業(yè)綜合為研究特色的國(guó)際期刊，發(fā)表該領(lǐng)域相關(guān)的原創(chuàng)研究文章、評(píng)論文章和綜述文章，及時(shí)報(bào)道該領(lǐng)域相關(guān)理論、實(shí)踐和應(yīng)用學(xué)科的最新發(fā)現(xiàn)，旨在促進(jìn)該學(xué)科領(lǐng)域科學(xué)信息的快速交流。該期刊是一本未開(kāi)放期刊，近三年沒(méi)有被列入預(yù)警名單。該期刊享有很高的科學(xué)聲譽(yù)，影響因子不斷增加，發(fā)行量也同樣高。

2區(qū) 中科院分區(qū)
Q1 JCR分區(qū)
113 年發(fā)文量
5.4 IF影響因子
未開(kāi)放 是否OA
51 H-index
1999 創(chuàng)刊年份
Bimonthly 出版周期
English 出版語(yǔ)言

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.

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Precision Agriculture期刊信息

ISSN：1385-2256
出版語(yǔ)言：English
是否OA：未開(kāi)放
E-ISSN：1573-1618
出版地區(qū)：NETHERLANDS
是否預(yù)警：否
出版商：Springer US
出版周期：Bimonthly
創(chuàng)刊時(shí)間：1999
開(kāi)源占比：0.2776
Gold OA文章占比：33.23%
OA被引用占比：0.1459...
出版國(guó)人文章占比：0.12
出版撤稿占比：0
研究類文章占比：95.58%

Precision Agriculture CiteScore評(píng)價(jià)數(shù)據(jù)（2024年最新版）

CiteScore

SJR

SNIP

CiteScore 指數(shù)

12.3

1.192

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%

名詞解釋：CiteScore 是衡量期刊所發(fā)表文獻(xiàn)的平均受引用次數(shù)，是在 Scopus 中衡量期刊影響力的另一個(gè)指標(biāo)。當(dāng)年CiteScore 的計(jì)算依據(jù)是期刊最近4年（含計(jì)算年度）的被引次數(shù)除以該期刊近四年發(fā)表的文獻(xiàn)數(shù)。例如，2022年的 CiteScore 計(jì)算方法為：2022年的 CiteScore =2019-2022年收到的對(duì)2019-2022年發(fā)表的文件的引用數(shù)量÷2019-2022年發(fā)布的文獻(xiàn)數(shù)量注：文獻(xiàn)類型包括：文章、評(píng)論、會(huì)議論文、書(shū)籍章節(jié)和數(shù)據(jù)論文。

Precision Agriculture中科院評(píng)價(jià)數(shù)據(jù)

中科院 2023年12月升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	農(nóng)林科學(xué)	2區(qū)	AGRICULTURE, MULTIDISCIPLINARY 農(nóng)業(yè)綜合	2區(qū)

中科院 2022年12月升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	農(nóng)林科學(xué)	2區(qū)	AGRICULTURE, MULTIDISCIPLINARY 農(nóng)業(yè)：綜合	2區(qū)

中科院 2021年12月舊的升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	農(nóng)林科學(xué)	2區(qū)	AGRICULTURE, MULTIDISCIPLINARY 農(nóng)業(yè)綜合	2區(qū)

中科院 2021年12月基礎(chǔ)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
是	否	農(nóng)林科學(xué)	1區(qū)	AGRICULTURE, MULTIDISCIPLINARY 農(nóng)業(yè)綜合	1區(qū)

中科院 2021年12月升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	農(nóng)林科學(xué)	2區(qū)	AGRICULTURE, MULTIDISCIPLINARY 農(nóng)業(yè)綜合	2區(qū)

中科院 2020年12月舊的升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
是	否	農(nóng)林科學(xué)	1區(qū)	AGRICULTURE, MULTIDISCIPLINARY 農(nóng)業(yè)綜合	1區(qū)

Precision Agriculture JCR評(píng)價(jià)數(shù)據(jù)（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%

Precision Agriculture歷年數(shù)據(jù)統(tǒng)計(jì)

影響因子

中科院分區(qū)

Precision Agriculture中國(guó)學(xué)者發(fā)文選摘

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