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Machile learning and optical sensors to detect insects and plant deseases

Machile learning and optical sensors to detect insects and plant deseases

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NOISE - NOI Techpark

15 Via Alessandro Volta

39100 Bolzano

Italy

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Plant disease and insect pest detection and recognition using machine learning methods based on optical sensors

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Hey there September and hey there developer community. Our monthly meet-up is back and Abraham Mejia-Aguilar, Senior Researcher at the Center for Sensing Solutions – Eurac Research – is taking over.

This session is dedicated to methods based on machine learning and optical sensors to detect, identify, and classify some of the common diseases and pests introduced in a farming management system.

These methods could be of particular importance to mountain agriculture in the province of South Tyrol. In this most northern region of Italy, it is a vital social-economic activity cultivating apple orchards and vineyards. Growing on mountain terrain with its steep slopes, challenging accessibility, and extreme weather conditions, the plants are also exposed to a combination of biotic and abiotic stress that can result in diseases or pests’ attacks. It results in the loss of the yield and quality of products, economic losses, reducing food security with severe ecological impacts.

+++ ATTENTION - DIFFERENT LOCATION +++

This time, we will be meeting again at the Maker Space. This map navigates you to the location https://bit.ly/3zUDYFy. If you prefer to ask someone, rather than looking at an online map, head to the Info Desk on the ground floor of the main building.

Register now!

Unable to attend in person? Follow the live stream on our YouTube Channel.

https://youtu.be/IM3mTq_DkTY

18:30 Abraham Mejia Aguilar, Eurac Research: Machile learning and optical sensors to detect insects and plant deseases

19:00 Open discussion

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NOISE - NOI Techpark

15 Via Alessandro Volta

39100 Bolzano

Italy

Visualizza Mappa

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