Affiliation:
1. College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China
2. National Engineering and Technology Center for Information Agriculture, Nanjing 210095, China
3. China Engineering Research Center of Smart Agriculture, Ministry of Education, Nanjing 210095, China
4. Collaborative Innovation Center for Modern Crop Production Co-Sponsored by Province and Ministry, Nanjing 210095, China
Abstract
High-throughput phenotype monitoring systems for field crops can not only accelerate the breeding process but also provide important data support for precision agricultural monitoring. Traditional phenotype monitoring methods for field crops relying on artificial sampling and measurement have some disadvantages including low efficiency, strong subjectivity, and single characteristics. To solve these problems, the rapid monitoring, acquisition, and analysis of phenotyping information of field crops have become the focus of current research. The research explores the systematic framing of phenotype monitoring systems for field crops. Focusing on four aspects, namely phenotyping sensors, mobile platforms, control systems, and phenotyping data preprocessing algorithms, the application of the sensor technology, structural design technology of mobile carriers, intelligent control technology, and data processing algorithms to phenotype monitoring systems was assessed. The research status of multi-scale phenotype monitoring products was summarized, and the merits and demerits of various phenotype monitoring systems for field crops in application were discussed. In the meantime, development trends related to phenotype monitoring systems for field crops in aspects including sensor integration, platform optimization, standard unification, and algorithm improvement were proposed.
Funder
National Key Research and Development Program of China
Modern Agricultural Machinery Equipment and Technology Demonstration and Promotion of Jiangsu Province
Primary Research and Development Plan of Jiangsu Province of China
Subject
Agronomy and Crop Science