Novel hybrid transfer neural network for wheat crop growth stages recognition using field images

Novel hybrid transfer neural network for wheat crop growth stages recognition using field images

Abstract Wheat is one of the world’s most widely cultivated cereal crops and is a primary food source for a significant portion of the population. Wheat goes through several distinct developmental phases, and accurately identifying these stages is essential for precision farming. Determining wheat g...

Full description

Saved in:
Bibliographic Details
Main Authors: Aisha Naseer, Madiha Amjad, Ali Raza, Kashif Munir, Aseel Smerat, Henry Fabian Gongora, Carlos Eduardo Uc Rios, Imran Ashraf
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Precision agriculture
Agricultural system
Wheat growth prediction
Hybrid neural network
Image processing
Deep learning
Online Access:https://doi.org/10.1038/s41598-025-96332-9
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-96332-9

Similar Items