The Use of Non-destructive Techniques to Assess the Nutritional Content of Fruits and Vegetables
Author:
Affiliation:
1. Department of the Science of Agriculture; Food, and Environment, University of Foggia; Foggia Italy
Publisher
John Wiley & Sons, Ltd
Reference99 articles.
1. The use of hyperspectral imaging to predict the distribution of internal constituents and to classify edible fennel heads based on the harvest time;Amodio;Computers and Electronics in Agriculture,2017a
2. Potential of NIR spectroscopy for predicting internal quality and discriminating among strawberry fruits from different production systems;Amodio;Postharvest Biology and Technology,2017b
3. Quality evaluation of pickling cucumbers using hyperspectral reflectance and transmittance imaging: Part I. Development of a prototype;Ariana;Sensing and Instrumentation for Food Quality and Safety,2008
4. Evaluation of internal defect and surface color of whole pickles using hyperspectral imaging;Ariana;Journal of Food Engineering,2010
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3