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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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Waleed Khan (9427344) (author)
مؤلفون آخرون:	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)
منشور في:	2024
الموضوعات:	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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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

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