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.

A Proposed Grid-Based Elephant Detection Model Using Artificial Intelligence (AI) to Prevent Crop Damage in Farming Fields

Créateur:
RabRak
Éditeur:
Spr
Hôte:

Visit

doi.org

Tasks

computer visionimage classification

Licenses

https://www.springernature.com/gp/researchers/text-and-data-mininghttps://www.springernature.com/gp/researchers/text-and-data-mining

Similaires

ADR detection using Artificial intelligence(AI)A Proposed Satellite-Based Crop Insurance System for Smallholder Maize FarmingElephant Crop Damage: Subsistence Farmers’ Social Vulnerability, Livelihood Sustainability and Elephant ConservationTowards a multi-agent model to prevent damage caused by cocoa mirids to cocoa podsArtificial Intelligence in Mitigating Elephant Crop Raids: Conditions for Adoption and Scaling Up of AI Interventions among Farmers Around Ruaha National Park, TanzaniaA REVIEW OF ARTIFICIAL INTELLIGENCE (AI) CHALLENGES AND FUTURE PROSPECTS OF EXPLAINABLE AI IN MAJOR FIELDS: A CASE STUDY OF NIGERIA

ADR detection using Artificial intelligence(AI)

Crop yield forecasting represents a major strategic challenge for developing countries,where agricul

A Proposed Satellite-Based Crop Insurance System for Smallholder Maize Farming

Crop farming in Sub-Saharan Africa is constantly confronted by extreme weather events. Researchers h

Elephant Crop Damage: Subsistence Farmers’ Social Vulnerability, Livelihood Sustainability and Elephant Conservation

African elephants (Loxodonta africana) induce considerable crop damage risks, shocks and stresses on

Towards a multi-agent model to prevent damage caused by cocoa mirids to cocoa pods

Co-localisées avec la Plate-Forme Intelligence Artificielle (PFIA 2019) International audience

Artificial Intelligence in Mitigating Elephant Crop Raids: Conditions for Adoption and Scaling Up of AI Interventions among Farmers Around Ruaha National Park, Tanzania

This study assessed the conditions for adoption and scaling up of AI-driven interventions among farm

A REVIEW OF ARTIFICIAL INTELLIGENCE (AI) CHALLENGES AND FUTURE PROSPECTS OF EXPLAINABLE AI IN MAJOR FIELDS: A CASE STUDY OF NIGERIA

Artificial intelligence (AI) has been used widely in essential fields such as energy, health, agricu