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

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

<p dir="ltr">Agricultural Remote Sensing has the potential to enhance agricultural monitoring in smallholder economies to mitigate losses. However, its widespread adoption faces challenges, such as diminishing farm sizes, lack of reliable data-sets and high cost related to commercial...

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Bibliographic Details
Main Author: Waleed Khan (9427344) (author)
Other Authors: Nasru Minallah (9427338) (author), Madiha Sher (18086492) (author), Mahmood Ali khan (18086495) (author), Atiq ur Rehman (3044409) (author), Tareq Al-Ansari (9872268) (author), Amine Bermak (1895947) (author)
Published: 2024
Subjects:
Agricultural, veterinary and food sciences
Agriculture, land and farm management
Crop and pasture production
Engineering
Geomatic engineering
Information and computing sciences
Machine learning
Agricultural Remote Sensing
Crop Mapping
Bidirectional Long Short-Term Memory (Bi-LSTM)
Crop Classification
Open Source Tools
Smallholder Economies
Deep Learning
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