Evaluating Remote Sensing for Determining and Classifying Soybean Anomalies
Publisher: Springer Publishing Company
ISSN: 1385-2256
Source: Precision Agriculture, Vol.6, Iss.5, 2005-10, pp. : 421-429
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
Related content
A Review on Remote Sensing of Weeds in Agriculture
Precision Agriculture, Vol. 5, Iss. 5, 2004-10 ,pp. :