Object
Title: Usage of Nvidia Jetson Nano in Agriculture as an Example of PlantLeaves Illness Real-Time Detection and Classification
Publication Details:
Journal or Publication Title:
Ագրոգիտություն և տեխնոլոգիա=Agriscience and Technology= Агронаука и технология
Date of publication:
Volume:
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Corporate Creators:
Հայաստանի ազգային ագրարային համալսարան
Contributor(s):
Գլխավոր խմբագիր՝ Հ. Ս. Ծպնեցյան
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
Publisher:
Format:
Identifier:
oai:arar.sci.am:356971
Digitization:
ՀՀ ԳԱԱ Հիմնարար գիտական գրադարան
Object collections:
Last modified:
Jun 21, 2024
In our library since:
Apr 14, 2023
Number of object content hits:
19
All available object's versions:
https://arar.sci.am/publication/386271
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Ագրոգիտություն և տեխնոլոգիա=Agriscience and Technology= Агронаука и технология
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Ագրոգիտություն և տեխնոլոգիա, 2019
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Ագրոգիտություն և տեխնոլոգիա, 2020
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Ագրոգիտություն և տեխնոլոգիա, 2021
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Ագրոգիտություն և տեխնոլոգիա, 2022
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Ագրոգիտություն և տեխնոլոգիա, 2022, 1/77
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Ագրոգիտություն և տեխնոլոգիա, 2022, 2/78
- Կազմ; Խմբագրական խորհուրդ
- Contents
- Theoretical Justification of the Dynamic Parameters in Plant Stems Sliding Cutting
- Economic Efficiency of Drip Irrigation System in Case of High-Value Crop Cultivation
- Towards Circular Economy: Conceptualization and Common Practices in the Food Industry
- Forecasting Crops Yield Capacity in Changing Agroclimatic Conditions of Ararat Valley and Piedmont Zones
- Usage of Nvidia Jetson Nano in Agriculture as an Example of PlantLeaves Illness Real-Time Detection and Classification
- Increasing the Efficiency of Chili Pepper Cultivation through an Effective Fertilization System
- The Prevalence of Leishmaniasis in Dogs in the Districts of Yerevan
- Some Epizootological Peculiarities of Chicken Eimeriosis in the Small Poultry Farms
- Epidemiological Peculiarities and Economic Efficiency of Veterinary Measures in Case of Diplococcal Infection of Pigs
- Treatment of Third-Degree Thermal Burns in Dogs with Ozonated Vegetable Oil
- Developing and Improving the Production Technology of Canned Cold Smoked Rainbow Trout Fillet
- Development of the First Component for The New “Yogric” Product
- Developing a New Recipe for Producing Belgian Waffles with Peanut Butter
- The Effect of Natural Sugar Substitute on the Physicochemical Indices of Cupcake
- Developing a New Recipe for Milk Chocolate
- Investigating the Effect of Yeasts and their Derivatives on the Qualitative Indices of Red Wine
- Assessing Copper Risk in Honey Sold in City of Yerevan
- Target-Oriented Risk Assessment of AFB1 in Buckwheat Consumed in Armenia
- Developing Technology for Special Beer Brewing by Using Non-Traditional Raw Materials
- Ցուցումներ հեղինակին
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Ագրոգիտություն և տեխնոլոգիա, 2022, 3/79
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Ագրոգիտություն և տեխնոլոգիա, 2022, 4/80
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Ագրոգիտություն և տեխնոլոգիա, 2022, 1/77
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Ագրոգիտություն և տեխնոլոգիա, 2023
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Ագրոգիտություն և տեխնոլոգիա, 2024
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Ագրոգիտություն և տեխնոլոգիա, 2019
