RustQNet: Multimodal deep learning for quantitative inversion of wheat stripe rust disease index

J Deng, D Hong, C Li, J Yao, Z Yang, Z Zhang… - … and Electronics in …, 2024 - Elsevier
Quantitative remote sensing of crop diseases at the field or plot scale is essential for crop
management. Conventional approaches frequently rely solely on single-modal remote …

[PDF][PDF] 水稻遥感制图研究综述

高心怡, 池泓, 黄进良, 凌峰, 韩逸飞, 贾小凤, 李一凡… - 遥感学报, 2024 - ygxb.ac.cn
水稻是人类的主要粮食作物之一, 及时准确的获取水稻面积分布和时空变化对粮食政策制定具有
重要的参考意义. 本文围绕“水稻遥感制图” 研究主题, 首先回顾调研国内外文献资料 …

Developments in deep learning for change detection in remote sensing: A review

G Kaur, Y Afaq - Transactions in GIS, 2024 - Wiley Online Library
Deep learning (DL) algorithms have become increasingly popular in recent years for remote
sensing applications, particularly in the field of change detection. DL has proven to be …

Improving weakly-supervised object localization using adversarial erasing and pseudo label

B Kang, S Cha, Y Lee - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Weakly-supervised learning approaches have gained significant attention due to their ability
to reduce the effort required for human annotations in training neural networks. This paper …

[PDF][PDF] Blockchain Technology with deep learning adoptation for various applications: vision and future opportunities

Y Afaq, A Manocha - 2022 - scholar.archive.org
A recent study has successfully focused on Deep Learning and Blockchain technologies
because of their tremendous potential for producing reliable decisions. The bulkof …

[PDF][PDF] Integration of Blockchain Technology with Deep Learning Approaches: Vision and Future Opportunities

Y Afaq, A Manocha - 2022 - scholar.archive.org
Abstract Recently, Deep Learning and blockchain technology has gained successful
attention in recent research due to their high potential for generating the accurate decision …