Accurate Identification of Agricultural Inputs Based on Sensor Monitoring Platform and SSDA-HELM-SOFTMAX Model

The unreliability of traceability information on agricultural inputs has become one of the main factors hindering the development of traceability systems. At present, the major detection techniques of agricultural inputs were residue chemical detection at the postproduction stage. In this paper, a n...

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Bibliographic Details
Published in:	Journal of sensors Vol. 2021; no. 1
Main Authors:	Zou, Juan, Jiang, Hanjing, Wang, Qingxiu, Chen, Ningxia, Wu, Ting, Yang, Ling
Format:	Journal Article
Language:	English
Published:	New York Hindawi 2021 John Wiley & Sons, Inc
Subjects:	Accuracy Air pollution Algorithms Artificial intelligence Artificial neural networks Back propagation networks Circuit design Classification Deep learning Fault diagnosis Fertilizers Machine learning Methods Monitoring Neural networks Neurons Pesticides Sensors Software Soil contamination Sparsity Wireless networks
ISSN:	1687-725X, 1687-7268
Online Access:	Get full text
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