[HTML][HTML] Drones in agriculture: A review and bibliometric analysis
Abstract Drones, also called Unmanned Aerial Vehicles (UAV), have witnessed a
remarkable development in recent decades. In agriculture, they have changed farming …
remarkable development in recent decades. In agriculture, they have changed farming …
Recent developments of the internet of things in agriculture: a survey
A rise in the population has immensely increased the pressure on the agriculture sector.
With the advent of technology, this decade is witnessing a shift from conventional …
With the advent of technology, this decade is witnessing a shift from conventional …
Grain yield prediction of rice using multi-temporal UAV-based RGB and multispectral images and model transfer–a case study of small farmlands in the South of China
Timely and accurate crop monitoring and yield forecasting before harvesting are valuable for
precision management, policy and decision making, and marketing. The aim of this study is …
precision management, policy and decision making, and marketing. The aim of this study is …
Estimating potato above-ground biomass by using integrated unmanned aerial system-based optical, structural, and textural canopy measurements
Rapid and non-destructive potato above ground biomass (AGB) monitoring is a crucial step
in the development of smart agriculture because AGB is closely related to crop growth, yield …
in the development of smart agriculture because AGB is closely related to crop growth, yield …
UAV-enabled mobile edge-computing for IoT based on AI: A comprehensive review
Unmanned aerial vehicles (UAVs) are becoming integrated into a wide range of modern IoT
applications. The growing number of networked IoT devices generates a large amount of …
applications. The growing number of networked IoT devices generates a large amount of …
Improved potato AGB estimates based on UAV RGB and hyperspectral images
Crops' above-ground biomass (AGB) is a crucial indicator that reflects crop health and
predicts crop yield. However, using only optical vegetation indices (VIs) can produce …
predicts crop yield. However, using only optical vegetation indices (VIs) can produce …
How does nitrogen shape plant architecture?
L Luo, Y Zhang, G Xu - Journal of experimental botany, 2020 - academic.oup.com
Plant nitrogen (N), acquired mainly in the form of nitrate and ammonium from soil, dominates
growth and development, and high-yield crop production relies heavily on N fertilization. The …
growth and development, and high-yield crop production relies heavily on N fertilization. The …
Estimation of nitrogen nutrition index in rice from UAV RGB images coupled with machine learning algorithms
Rapid and accurate estimation of rice Nitrogen Nutrition Index (NNI) is beneficial for
management of nitrogen application in rice production. Traditional estimation methods …
management of nitrogen application in rice production. Traditional estimation methods …
Combining transfer learning and hyperspectral reflectance analysis to assess leaf nitrogen concentration across different plant species datasets
Accurate estimation of leaf nitrogen concentration (LNC) is critical to characterize ecosystem
and plant physiological processes for example in carbon fixation. Remote sensing can …
and plant physiological processes for example in carbon fixation. Remote sensing can …
A systematic review of the factors influencing the estimation of vegetation aboveground biomass using unmanned aerial systems
L G. Poley, G J. McDermid - Remote Sensing, 2020 - mdpi.com
Interest in the use of unmanned aerial systems (UAS) to estimate the aboveground biomass
(AGB) of vegetation in agricultural and non-agricultural settings is growing rapidly but there …
(AGB) of vegetation in agricultural and non-agricultural settings is growing rapidly but there …