Recent advances of hyperspectral imaging technology and applications in agriculture
Remote sensing is a useful tool for monitoring spatio-temporal variations of crop
morphological and physiological status and supporting practices in precision farming. In …
morphological and physiological status and supporting practices in precision farming. In …
Smallholder farmers depend on healthy and productive crop yields to sustain their socio-
economic status and ensure livelihood security. Advances in South African precision …
economic status and ensure livelihood security. Advances in South African precision …
Crop** patterns of annual crops: A remote sensing review
Crop** patterns are defined as the sequence and spatial arrangement of annual crops on
a piece of land. Knowledge of crop** patterns is crucial for crop production and land-use …
a piece of land. Knowledge of crop** patterns is crucial for crop production and land-use …
Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenoty** in wheat
Crop production needs to increase in a sustainable manner to meet the growing global
demand for food. To identify crop varieties with high yield potential, plant scientists and …
demand for food. To identify crop varieties with high yield potential, plant scientists and …
New generation hyperspectral data from DESIS compared to high spatial resolution PlanetScope data for crop type classification
Thoroughly investigating the characteristics of new generation hyperspectral and high
spatial resolution spaceborne sensors will advance the study of agricultural crops …
spatial resolution spaceborne sensors will advance the study of agricultural crops …
A Review on Plant Disease Detection Using Hyperspectral Imaging
Agriculture production is one of the fundamental contributors to a nation's economic
development. Every year, plant diseases result in significant crop losses that threaten the …
development. Every year, plant diseases result in significant crop losses that threaten the …
Identification of species of the genus Acer L. using vegetation indices calculated from the hyperspectral images of leaves
PA Dmitriev, BL Kozlovsky, DP Kupriushkin… - Remote Sensing …, 2022 - Elsevier
Selection of the most suitable spectral vegetation indices which are applicable to the remote
sensing of the forest species composition and status, is an important task aimed at the …
sensing of the forest species composition and status, is an important task aimed at the …
Unmanned aerial vehicle and proximal sensing of vegetation indices in olive tree (Olea europaea)
Remote and proximal sensing platforms at the service of precision olive growing are
bringing new development possibilities to the sector. A proximal sensing platform is close to …
bringing new development possibilities to the sector. A proximal sensing platform is close to …
Peanut yield prediction with UAV multispectral imagery using a cooperative machine learning approach
The unmanned aerial vehicle (UAV), as a remote sensing platform, has attracted many
researchers in precision agriculture because of its operational flexibility and capability of …
researchers in precision agriculture because of its operational flexibility and capability of …