Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Pest24: A large-scale very small object data set of agricultural pests for multi-target detection

Type de record:

dataset
Créateur:
Qi-SheShiGua
Éditeur:
Elsevier BV
Hôte:

Visit

doi.org

Licenses

https://www.elsevier.com/tdm/userlicense/1.0/https://www.elsevier.com/legal/tdmrep-license

Similaires

MassiveSumm: a very large-scale, very multilingual, news summarisation datasetMulti-scale YOLO-MAML for Scaling Few-shot Learning in Agricultural Disease DetectionA hybrid approach to very small scale electrical demand forecastingReplication Data for: Large-scale agricultural investments, employment opportunities and communal conflictAre African Dam projects for large scale agribusiness or small scale?Farmer Centered Large Scale e-Surveillance and Control of Crop Pests in Kenya

MassiveSumm: a very large-scale, very multilingual, news summarisation dataset

Current research in automatic summarisation is unapologetically anglo-centered–a persistent state-of-affairs, which also predates neural net approaches. High-quality automatic summarisation datasets are notoriously expensive to create, posing a challenge for any la

Multi-scale YOLO-MAML for Scaling Few-shot Learning in Agricultural Disease Detection

A hybrid approach to very small scale electrical demand forecasting

Microgrid management and scheduling can considerably benefit from day-ahead demand forecasting. Unti

Replication Data for: Large-scale agricultural investments, employment opportunities and communal conflict

The global demand for resources can have negative effects on local communities in the places of prod

Are African Dam projects for large scale agribusiness or small scale?

This contains point shapefiles of dams built for irrigation after year 2000, the final shapefiles fo

Farmer Centered Large Scale e-Surveillance and Control of Crop Pests in Kenya

With advancement of mobile technology and the property of mobile phones of being ubiquitous and perv