Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
Identifying and characterizing vascular plants in time and space is required in various
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …
Deep learning techniques to classify agricultural crops through UAV imagery: A review
During the last few years, Unmanned Aerial Vehicles (UAVs) technologies are widely used
to improve agriculture productivity while reducing drudgery, inspection time, and crop …
to improve agriculture productivity while reducing drudgery, inspection time, and crop …
[HTML][HTML] The segment anything model (sam) for remote sensing applications: From zero to one shot
Segmentation is an essential step for remote sensing image processing. This study aims to
advance the application of the Segment Anything Model (SAM), an innovative image …
advance the application of the Segment Anything Model (SAM), an innovative image …
[HTML][HTML] A review on deep learning in UAV remote sensing
Abstract Deep Neural Networks (DNNs) learn representation from data with an impressive
capability, and brought important breakthroughs for processing images, time-series, natural …
capability, and brought important breakthroughs for processing images, time-series, natural …
AI meets UAVs: A survey on AI empowered UAV perception systems for precision agriculture
Precision Agriculture (PA) promises to boost crop productivity while reducing agricultural
costs and environmental footprints, and therefore is attracting ever-increasing interests in …
costs and environmental footprints, and therefore is attracting ever-increasing interests in …
Boost precision agriculture with unmanned aerial vehicle remote sensing and edge intelligence: A survey
J Liu, J ** countries, it is significant to achieve …
Agroview: Cloud-based application to process, analyze and visualize UAV-collected data for precision agriculture applications utilizing artificial intelligence
Traditional sensing technologies in specialty crops production, for pest and disease
detection and field phenoty**, rely on manual sampling and are time consuming and labor …
detection and field phenoty**, rely on manual sampling and are time consuming and labor …
Surveying coconut trees using high-resolution satellite imagery in remote atolls of the Pacific Ocean
Coconut (Cocos nucifera L.) is one of the world's most economically important tree species,
and coconut palm plantations dominate many islands and tropical coastlines. However, the …
and coconut palm plantations dominate many islands and tropical coastlines. However, the …
HyperLi-Net: A hyper-light deep learning network for high-accurate and high-speed ship detection from synthetic aperture radar imagery
Abstract Ship detection from Synthetic Aperture Radar (SAR) imagery is attracting increasing
attention due to its great value in ocean. However, existing most studies are frequently …
attention due to its great value in ocean. However, existing most studies are frequently …