AgriSage: Android‐Based Application for Empowering Farmers With E‐Commerce and AI‐Driven Disease Detection

AgriSage: Android‐Based Application for Empowering Farmers With E‐Commerce and AI‐Driven Disease Detection

ABSTRACT Agriculture faces critical challenges such as timely disease detection, fragmented market access, and limited use of real‐time technology in the field. To address these issues, we developed AgriSage, an Android‐based intelligent mobile application that integrates artificial intelligence, we...

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Bibliographic Details
Main Authors: Shabeena Naveed, Mujeeb Ur Rehman, Mumtaz Ali Shah, Shahid Sultan, Zafar Ullah Khan, Syed Zarak Shah, Mansoor Iqbal, Muhammad Ahsan Amjed
Format: Article
Language:English
Published: Wiley 2025-08-01
Series:Engineering Reports
Subjects:
convolutional neural networks (CNN)
deep learning in agriculture
image classification
MobileNetV2
plant disease detection
TensorFlow lite (TFLITE)
Online Access:https://doi.org/10.1002/eng2.70342
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https://doi.org/10.1002/eng2.70342

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