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Agricultural Pesticide Risk in Bee Pollen Across Bee Species and Landscapes
dataset
Apr 09, 2026
-
Pan-european assessment, monitoring, and mitigation Of Stressors on the Health of BEEs
AI Uploader Service
Five scientific papers – one for each soil function
document
Nov 19, 2019
-
LANDMARK: Land Management Assessment Research Knowledge base ( EU H2020 project)
Rachel Creamer
Artificial intelligence for forest fire ignition prediction and response in southern Turkey
document
Aug 21, 2024
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Landscape resilience knowledge alliance for agriculture and forestry in the Mediterranean basin
Eduard Mauri

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We found some projects that might be relevant for you, based on your search-query.

Evaluation of model segmentation accuracy using Jaccard and DICE metrics
document
Apr 30, 2025
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Hodowla przyszłości
Łukasz Czech
Logrando un impacto: Guía Práctica
document
May 05, 2022
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Better Rural Innovation: Linking Actors, Instruments and Policies through Networks
Susanne von Münchhausen
- guide
- impact
Azione 3.9 Raccolta dati (UCSC, STUARD, Tadini, SITEIA)
document
Dec 31, 2020
-
Vegetable Crops Waste: Opportunities in Energy Transformation and their Reuse
Università Cattolica del Sacro Cuore
GO PREDIVI: Big Data Model for Vitivinicultural Harvest Prediction
document
Jan 10, 2021
-
PREDIVÍ: big data-based wine harvest prediction model
INNOVI Association of Innovative Companies
Prognosemodell für den westlichen Maiswurzelbohrer in Österreich
slideshow/presentation
Feb 10, 2018
-
ARGE Innobrotics - Solution of the corn rootworm problem in arable farming and livestock farming areas of Austria
ARGE Innobrotics

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Agricultural Pesticide Risk in Bee Pollen Across Bee Species and Landscapes

Five scientific papers – one for each soil function

Artificial intelligence for forest fire ignition prediction and response in southern Turkey

Foresight and Trend Analysis Research Guidelines

Vitaal bos: indicatoren en streefwaarden

Evaluation of model segmentation accuracy using Jaccard and DICE metrics

Logrando un impacto: Guía Práctica

Azione 3.9 Raccolta dati (UCSC, STUARD, Tadini, SITEIA)

GO PREDIVI: Big Data Model for Vitivinicultural Harvest Prediction

Prognosemodell für den westlichen Maiswurzelbohrer in Österreich

Filters

Agricultural Pesticide Risk in Bee Pollen Across Bee Species and Landscapes

Five scientific papers – one for each soil function

Artificial intelligence for forest fire ignition prediction and response in southern Turkey

Foresight and Trend Analysis Research Guidelines

Vitaal bos: indicatoren en streefwaarden

Evaluation of model segmentation accuracy using Jaccard and DICE metrics

Logrando un impacto: Guía Práctica

Azione 3.9 Raccolta dati (UCSC, STUARD, Tadini, SITEIA)

GO PREDIVI: Big Data Model for Vitivinicultural Harvest Prediction

Prognosemodell für den westlichen Maiswurzelbohrer in Österreich

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Agricultural Pesticide Risk in Bee Pollen Across Bee Species and Landscapes

Five scientific papers – one for each soil function

Artificial intelligence for forest fire ignition prediction and response in southern Turkey

Foresight and Trend Analysis Research Guidelines

Vitaal bos: indicatoren en streefwaarden

Evaluation of model segmentation accuracy using Jaccard and DICE metrics

Logrando un impacto: Guía Práctica

Azione 3.9 Raccolta dati (UCSC, STUARD, Tadini, SITEIA)

GO PREDIVI: Big Data Model for Vitivinicultural Harvest Prediction

Prognosemodell für den westlichen Maiswurzelbohrer in Österreich

Filters

Resource typeClear filters (0)

TopicClear filters (0)

Contribution languageClear filters (0)

LocationClear filters (0)

Project typeClear filters (0)

Agricultural Pesticide Risk in Bee Pollen Across Bee Species and Landscapes

Five scientific papers – one for each soil function

Artificial intelligence for forest fire ignition prediction and response in southern Turkey

Foresight and Trend Analysis Research Guidelines

Vitaal bos: indicatoren en streefwaarden

Evaluation of model segmentation accuracy using Jaccard and DICE metrics

Logrando un impacto: Guía Práctica

Azione 3.9 Raccolta dati (UCSC, STUARD, Tadini, SITEIA)

GO PREDIVI: Big Data Model for Vitivinicultural Harvest Prediction

Prognosemodell für den westlichen Maiswurzelbohrer in Österreich