Precision Agriculture

杂志介绍

Precision Agriculture杂志介绍

《Precision Agriculture》是一本以English为主的未开放获取国际优秀期刊，中文名称精准农业，本刊主要出版、报道农林科学-AGRICULTURE, MULTIDISCIPLINARY领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为5.4，最新CiteScore 指数为12.3。

本刊近期中国学者发表的论文主要有：

• 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

英文介绍

Precision Agriculture杂志英文介绍

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.