Precision agriculture based on convolutional neural network in rice production nutrient management using machine learning genetic algorithm

Precision Agriculture technology can use high-tech sensors and analytical tools to help farmers better manage their crop yields, allowing them to demonstrate their techniques on the field. The greater use of remote sensing technologies in farm productivity and nitrogen management tools to increase y...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 130; S. 107682
Hauptverfasser:	Sakthipriya, S., Naresh, R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.04.2024
Schlagworte:	Convolutional neural network Crop production Genetic algorithms Precision agriculture Precision agriculture Crop production Convolutional neural network Genetic algorithms
ISSN:	0952-1976, 1873-6769
Online-Zugang:	Volltext
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