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Hover-view: How to Count Sheep Without Falling Asleep – Using Drones and AI to Monitor Flocks

Hover-view: How to Count Sheep Without Falling Asleep – Using Drones and AI to Monitor Flocks

Hoverview is a series of blog posts throughout the ICAERUS project discussing everything drone technologies. This third instalment presents an implementation of quantization for deep learning models to improve the inference speed on an ICAERUS dataset.

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1041 586 ICAERUS
ICAERUS Subproject Success Series | SENSOR 2.0: AI and Drone Technology in Agriculture: Tackling Xylella Fastidiosa in Olive

ICAERUS Subproject Success Series | SENSOR 2.0: AI and Drone Technology in Agriculture: Tackling Xylella Fastidiosa in Olive

In recent years, olive trees have been increasingly threatened by “Olive Quick Decline Syndrome” (OQDS), a disease caused by the harmful bacterium Xylella fastidiosa.

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800 599 ICAERUS
ICAERUS Subproject Success Series: Exploring SHIELD’s Impact – Enhancing Precision and Security with EGNSS, OSNMA, and RTK

ICAERUS Subproject Success Series: Exploring SHIELD’s Impact – Enhancing Precision and Security with EGNSS, OSNMA, and RTK

In recent years, the integration of advanced GNSS technologies has opened new doors across multiple industries, pushing boundaries in security, accuracy, and overall operational efficiency. The SHIELD (Secure and High Integrity EGNSS Enabled Drone) project exemplifies this evolution, pioneering the combined application of the European Global Navigation Satellite System (EGNSS), its advanced security feature OSNMA (Open Service Navigation Message Authentication), and Real-Time Kinematic (RTK) technology.

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ICAERUS Subproject Success Series: AgroTwin and their decision support system for sustainable agriculture

ICAERUS Subproject Success Series: AgroTwin and their decision support system for sustainable agriculture

AGROTWIN, led by Agrobit S.r.l., is one of the successful sub-projects funded through the 1st ICAERUS PUSH Open Call, which started November 1st, 2023 and is coming to an end October 31, 2024. The objective of the AgroTwin sub-project was to develop and test a Decision Support System (DSS) based on advanced algorithms of AI and computer vision for optimize phytosanitary treatments through the use of consumer-grade drones, such as the DJI Phantom 3 Professional

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Frequently Asked Questions (FAQ) for the 2nd PULL Open Call

Frequently Asked Questions (FAQ) for the 2nd PULL Open Call

The 2nd PULL Open Call is  open until October 16th, 2024. This call provides a unique opportunity for agri-food producers, environmental monitoring entities, and rural communities/cooperatives to submit proposals for projects that focus on utilising drones and related services to address individual commercial needs or community-related issues. This blog post is designed to answer some of the most frequently asked questions  helping you to understand the application process and navigate it more easily.

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Successful applicants of the 2nd PUSH Open Call for Innovation Development

Successful applicants of the 2nd PUSH Open Call for Innovation Development

The 2nd ICAERUS PUSH Open Call for Innovation Development is underway! Three sub-projects have been selected and are about to begin developing drone-based ideas, concepts, and prototypes. These initiatives aim to bring innovative solutions to market, advancing the use of drones in agriculture and rural areas. Let’s get to know them:.

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2nd PULL Open Call has launched

2nd PULL Open Call has launched

The ICAERUS project has launched the second and final PULL Open Calls Farming, Forestry, and Rural Challenges (FFRC) on July 8, 2024. ICAERUS aims to showcase and support the effective, efficient,…

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2560 1707 ICAERUS
Insights from the 2nd PUSH Open Call: Applicant Statistics

Insights from the 2nd PUSH Open Call: Applicant Statistics

The ICAERUS Project’s 2nd of two PUSH Open Calls for Innovation Development closed on May 7, 2024 but drew outstanding interest from applicants across Europe and beyond. The PUSH Open…

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1150 1150 ICAERUS
Hover-view: orthomosaic processing using the uavgeo Python library

Hover-view: orthomosaic processing using the uavgeo Python library

Hoverview is a series of blog posts throughout the ICAERUS project discussing everything drone technologies. This third instalment presents an implementation of quantization for deep learning models to improve the inference speed on an ICAERUS dataset.

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593 455 ICAERUS

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      Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.

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