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Quick answer

AgriAI : Pest Detection for Plants Using Deep Learning is an open source AI hardware project from Hackster.io, indexed by ZouIC. Usage of Deep Learning with Intel's OpenVino to create smart pest detection for plants.

Source
Hackster.io
Focus
AI hardware
Author
Team AgriAI
Published
2020-08-03

Common questions

What does AgriAI : Pest Detection for Plants Using Deep Learning do?

Usage of Deep Learning with Intel's OpenVino to create smart pest detection for plants.

Where does AgriAI : Pest Detection for Plants Using Deep Learning come from?

ZouIC indexes it from Hackster.io, original page at https://www.hackster.io/team-agriai/agriai-pest-detection-for-plants-using-deep-learning-6ce58b.

What stack does AgriAI : Pest Detection for Plants Using Deep Learning use?

tags Intel, wip, advanced.

When was AgriAI : Pest Detection for Plants Using Deep Learning published?

The source page lists 2020-08-03.

AgriAI : Pest Detection for Plants Using Deep Learning
Hackster.io All from this source License per the original page ai_hardware

Indexed by ZouIC from the source platform public page, for developer reference only. Copyright and licensing stay with the author; get code and files from the original platform.

AgriAI : Pest Detection for Plants Using Deep Learning

Published 2020-08-03

Usage of Deep Learning with Intel's OpenVino to create smart pest detection for plants.

Technical Specifications

Source platform
Hackster.io
Listing note
Metadata fetched from the public platform page; copyright belongs to the original author.
Difficulty
advanced
content type
wip

Related resources and purchase links

Statistics

respects
16
views
7265

Project Info

Source PlatformHackster.io
Categoryai_hardware
LicenseLicense per the original page
Views7265
Likes16
Discussions0

Author Info

Team AgriAI
View Profile

Citation Note

This content is sourced from Hackster.io Platform,All rights reserved by the original author. This platform only provides indexing and summaries. For detailed content, please visit the original link.

License per the original page
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