Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

IoT-Enabled Deep Learning System for Strawberry Cultivation Viability and Disease Detection in Senegal: Ka-Nguessa

Creator:
FatMamAll
Publisher:
IEEE
Host:

Visit

doi.org

Licenses

https://doi.org/10.15223/policy-029https://doi.org/10.15223/policy-037

Similar

Transforming Mango Cultivation: A Deep Learning Approach for Leaf Disease DetectionBig data analytics: A single window IoT-enabled climate variability system for all-year-round vegetable cultivationMobile-based Deep Learning Models for Banana Disease DetectionVineyard vigilance: Harnessing deep learning for grapevine disease detectionYouthinaiLab/Adaptive-Deep-Learning-Model-for-Avocado-Disease-DetectionMaize Disease Detection using Deep Learning Models

Transforming Mango Cultivation: A Deep Learning Approach for Leaf Disease Detection

Big data analytics: A single window IoT-enabled climate variability system for all-year-round vegetable cultivation

Abstract Vegetables constitute a major food source with huge nutritional values as

Mobile-based Deep Learning Models for Banana Disease Detection

In Tanzania, smallholder farmers contribute significantly to banana production and Kagera, Mbeya, an

Vineyard vigilance: Harnessing deep learning for grapevine disease detection

According to the International Organization of Vine and Wine, an impressive 77.8 million tons of gra

YouthinaiLab/Adaptive-Deep-Learning-Model-for-Avocado-Disease-Detection

Avocado farming is growing across Africa, yet fruit diseases continue to impact quality, yield, and

Maize Disease Detection using Deep Learning Models

Abstract Disease attacks on crops like maize pose a significant threat to the global food