logo

Real-time automatic monitoring and ML-based prediction of pest insects

Sector: Raw Materials • Location: Italy

Source: EU Funding & Tenders Portal

Project
Ended

xTrap is an innovative smart trap solution that will transform pest management operations in farms, fostering the transition towards the Agriculture 4,0 era. It combines real-time automatic monitoring of pest insects with prediction based on machine-learning models. xTrap is the first predictive solution for pest life-cycle events (over 95% accuracy) on the market. It accurately identifies crop pe

Project Information FAQ

Project Information

3 Q
The project “Real-time automatic monitoring and ML-based prediction of pest insects” is an infrastructure initiative in the Raw Materials sector, located in Italy. Taiyo aggregates data on it from EU Funding & Tenders Portal.

Want to explore the full details? View the full report

Participants

Sponsoring Agency

Obfuscated Data

Company

Obfuscated Data

Status

Original status

ended

Taiyo status

Obfuscated Data

Taiyo last update

00-00-0000

Available timestamps

00-00-0000

Available timestamp type

Obfuscated Data

Contact

Contact name

Obfuscated Data

Phone

0000000000

Email

ObfuscatedData@email.com

Address

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Description

Description

xTrap is an innovative smart trap solution that will transform pest management operations in farms, fostering the transition towards the Agriculture 4,0 era. It combines real-time automatic monitoring of pest insects with prediction based on machine-learning models. xTrap is the first predictive solution for pest life-cycle events (over 95% accuracy) on the market. It accurately identifies crop pests and diseases in time, therefore allowing farmers to prevent them effectively. xTrap includes two main functions: 1) automatic insect detection through smart traps equipped with sensors and high-resolution cameras to count and identify insects by means of machine-learning algorithms, and 2) pest prediction through algorithms based on environmental data and phenology of insects combined with the use of artificial intelligence. The output from the algorithms and the predictive models will be available to farmers through our digital platform currently being commercialized by xFarm.

Original sub-sector

Obfuscated

Original Currency

USD

Original budget

000000000000000

Procurement method

Obfuscated Data

Budget

000000000000000

Location

Region

Obfuscated

Country

Obfuscated

State

Obfuscated Data

County

Obfuscated

Location

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Source

Source reliability

High

Data quality score

100%

Source

Obfuscated Data

URL

obfuscated_data,obfuscateddata.com

More Details

Project Type

Obfuscated Data

Article Published Date

Obfuscated Data