Data-Efficient Wheat Disease Detection Using Shifted Window Transformer: Enhancing Accuracy, Sustainability, and Global Food Security
<p dir="ltr">Wheat is an essential crop that plays a vital role in global food security, but is susceptible to a variety of diseases, which have the potential to drastically decrease crop productivity. Detection of disease at an early stage and in an accurate manner is crucial to min...
محفوظ في:
| المؤلف الرئيسي: | Muhammad Khubaib (22927822) (author) |
|---|---|
| مؤلفون آخرون: | Tanzila Kehkashan (20748842) (author), Maha Abdelhaq (735574) (author), Muhammad Asghar Khan (13411285) (author), Muhammad Zaman (66868) (author), Imran Ashraf (7370771) (author), Abdul Rehman (604331) (author), Adnan Akhunzada (20151648) (author) |
| منشور في: |
2025
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Deep learning supported machine vision system to precisely automate the wild blueberry harvester header
حسب: Zeeshan Haydar (17541297)
منشور في: (2023) -
On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network
حسب: Nasru Minallah (9427338)
منشور في: (2020) -
Advancing crop classification in smallholder agriculture: A multifaceted approach combining frequency-domain image co-registration, transformer-based parcel segmentation, and Bi-LSTM for crop classification
حسب: Waleed Khan (9427344)
منشور في: (2024) -
A Comprehensive Review on Deep Learning Assisted Computer Vision Techniques for Smart Greenhouse Agriculture
حسب: Jalal Uddin Md Akbar (21324617)
منشور في: (2024) -
Machine learning approach for the classification of corn seed using hybrid features
حسب: Aqib Ali (19680145)
منشور في: (2020)