雜志介紹

Precision Agriculture雜志介紹

《Precision Agriculture》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱精準(zhǔn)農(nóng)業(yè)，本刊主要出版、報道農(nóng)林科學(xué)-AGRICULTURE, MULTIDISCIPLINARY領(lǐng)域的研究動態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為5.4，最新CiteScore 指數(shù)為12.3。

本刊近期中國學(xué)者發(fā)表的論文主要有：

• 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

• 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

• 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

• 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

英文介紹

Precision Agriculture雜志英文介紹

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.