Publication Details:
Journal or Publication Title:
Ագրոգիտություն և տեխնոլոգիա=Agriscience and Technology= Агронаука и технология
Date of publication:
Volume:
ISSN:
Official URL:
Title:
Creator:
Galstyan, D. M. ; Harutyunyan, E. A. ; Nikoghosyan, K. H.
Corporate Creators:
Հայաստանի ազգային ագրարային համալսարան
Contributor(s):
Գլխավոր խմբագիր՝ Հ. Ս. Ծպնեցյան
Subject:
Uncontrolled Keywords:
smart agriculture ; plant leaves illnesses ; Jetson Nano ; real time detection ; artificial intelligence
Coverage:
Abstract:
Early prediction of plant illnesses can reduce the spread of the disease through efficient resource management and treatment planning. The goal of this article is to integrate the Jetson nanomachine with software based on a pre-trained CNN machine learning model which has been trained via healthy and diseased plant image data. The created video server uses the RTSP protocol to send video data to the Detection Engine. Detected diseases of the host are sent through the SMTP server at an adjustable frequency to the emails of the users. The developed system can be widely used in agriculture, making the fight against plant diseases more profitable and effective.
Place of publishing:
Երևան