Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring
نویسندگان
چکیده
منابع مشابه
CropQuant: An automated and scalable field phenotyping platform for crop monitoring and trait measurements to facilitate breeding and digital agriculture
14 Automated field phenotyping provides continuous and precise measures of adaptation 15 and performance traits that are key to today’s breeding and agricultural practices. 16 Besides monitoring morphological changes of crop growth and development, high17 resolution and high-frequency of phenotypic measures can empower an accurate 18 delineation of the genotype to phenotype pathway enabling the...
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Due to its perennial nature and size, the acquisition of phenotypic data in grapevine research is almost exclusively restricted to the field and done by visual estimation. This kind of evaluation procedure is limited by time, cost and the subjectivity of records. As a consequence, objectivity, automation and more precision of phenotypic data evaluation are needed to increase the number of sampl...
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In grapevine research the acquisition of phenotypic data is largely restricted to the field due to its perennial nature and size. The methodologies used to assess morphological traits and phenology are mainly limited to visual scoring. Some measurements for biotic and abiotic stress, as well as for quality assessments, are done by invasive measures. The new evolving sensor technologies provide ...
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Current plant phenotyping technologies to characterize agriculturally relevant traits have been primarily developed for use in laboratory and/or greenhouse conditions. In the case of root architectural traits, this limits phenotyping efforts, largely, to young plants grown in specialized containers and growth media. Hence, novel approaches are required to characterize mature root systems of old...
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More accurate, rapid, and easy phenotyping tools are required to match the recent advances in high-throughput genotyping for accelerating breeding and genetic analysis. The conventional data recording in field notebooks and then inputting data to computers for further analysis is inefficient, time-consuming, laborious, and prone to human error. Here, we report WIPPER (for Wireless Plant Phenoty...
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ژورنال
عنوان ژورنال: Functional Plant Biology
سال: 2017
ISSN: 1445-4408
DOI: 10.1071/fp16163