A review of deep learning in multiscale agricultural sensing
Population growth, climate change, and the worldwide COVID-19 pandemic are imposing
increasing pressure on global agricultural production. The challenge of increasing crop yield …
increasing pressure on global agricultural production. The challenge of increasing crop yield …
A survey on deep learning and its impact on agriculture: Challenges and opportunities
M Albahar - Agriculture, 2023 - mdpi.com
The objective of this study was to provide a comprehensive overview of the recent
advancements in the use of deep learning (DL) in the agricultural sector. The author …
advancements in the use of deep learning (DL) in the agricultural sector. The author …
Morphological transformation and spatial-logical aggregation for tree species classification using hyperspectral imagery
Hyperspectral image (HSI) consists of abundant spectral and spatial characteristics, which
contribute to a more accurate identification of materials and land covers. However, most …
contribute to a more accurate identification of materials and land covers. However, most …
A semisupervised Siamese network for hyperspectral image classification
With the development of hyperspectral imaging technology, hyperspectral images (HSIs)
have become important when analyzing the class of ground objects. In recent years …
have become important when analyzing the class of ground objects. In recent years …
[HTML][HTML] Early-season mapping of winter crops using sentinel-2 optical imagery
H Tian, Y Wang, T Chen, L Zhang, Y Qin - Remote Sensing, 2021 - mdpi.com
Sentinel-2 imagery is an unprecedented data source with high spatial, spectral and temporal
resolution in addition to free access. The objective of this paper was to evaluate the potential …
resolution in addition to free access. The objective of this paper was to evaluate the potential …
Crop type mapping in the central part of the North China Plain using Sentinel-2 time series and machine learning
Abstract The North China Plain (NCP), a major agricultural area in China, plays an important
role in China's grain production. Timely and accurate crop information for NCP is very …
role in China's grain production. Timely and accurate crop information for NCP is very …
[HTML][HTML] Towards autonomous mapping in agriculture: A review of supportive technologies for ground robotics
This paper surveys the supportive technologies currently available for ground mobile robots
used for autonomous mapping in agriculture. Unlike previous reviews, we describe state-of …
used for autonomous mapping in agriculture. Unlike previous reviews, we describe state-of …
A dual attention convolutional neural network for crop classification using time-series Sentinel-2 imagery
ST Seydi, M Amani, A Ghorbanian - Remote Sensing, 2022 - mdpi.com
Accurate and timely mapping of crop types and having reliable information about the
cultivation pattern/area play a key role in various applications, including food security and …
cultivation pattern/area play a key role in various applications, including food security and …
A novel Greenness and Water Content Composite Index (GWCCI) for soybean mapping from single remotely sensed multispectral images
As a critical source of food and one of the most economically significant crops in the world,
soybean plays an important role in achieving food security. Large area accurate mapping of …
soybean plays an important role in achieving food security. Large area accurate mapping of …
[HTML][HTML] In-field classification of the asymptomatic biotrophic phase of potato late blight based on deep learning and proximal hyperspectral imaging
C Qi, M Sandroni, JC Westergaard… - … and Electronics in …, 2023 - Elsevier
Effective detection of potato late blight (PLB) is an essential aspect of potato cultivation.
However, it is a challenge to detect late blight in asymptomatic biotrophic phase in fields with …
However, it is a challenge to detect late blight in asymptomatic biotrophic phase in fields with …