A comprehensive review on recent applications of unmanned aerial vehicle remote sensing with various sensors for high-throughput plant phenotyping
L Feng, S Chen, C Zhang, Y Zhang, Y He - Computers and electronics in …, 2021 - Elsevier
High-throughput phenotyping has been widely studied in plant science to monitor plant
growth and analyze the influence of genotypes and environment on plant growth. To meet …
growth and analyze the influence of genotypes and environment on plant growth. To meet …
Current understanding, challenges and perspective on portable systems applied to plant monitoring and precision agriculture
The devastating effects of global climate change on crop production and exponential
population growth pose a major challenge to agricultural yields. To cope with this problem …
population growth pose a major challenge to agricultural yields. To cope with this problem …
Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from hyperspectral data
Leaf chlorophyll, as a key factor for carbon circulation in the ecosystem, is significant for the
photosynthetic productivity estimation and crop growth monitoring in agricultural …
photosynthetic productivity estimation and crop growth monitoring in agricultural …
High throughput analysis of leaf chlorophyll content in sorghum using RGB, hyperspectral, and fluorescence imaging and sensor fusion
Background Leaf chlorophyll content plays an important role in indicating plant stresses and
nutrient status. Traditional approaches for the quantification of chlorophyll content mainly …
nutrient status. Traditional approaches for the quantification of chlorophyll content mainly …
Alfalfa yield prediction using UAV-based hyperspectral imagery and ensemble learning
Alfalfa is a valuable and intensively produced forage crop in the United States, and the
timely estimation of its yield can inform precision management decisions. However …
timely estimation of its yield can inform precision management decisions. However …
Combining color indices and textures of UAV-based digital imagery for rice LAI estimation
Leaf area index (LAI) is a fundamental indicator of plant growth status in agronomic and
environmental studies. Due to rapid advances in unmanned aerial vehicle (UAV) and sensor …
environmental studies. Due to rapid advances in unmanned aerial vehicle (UAV) and sensor …
[HTML][HTML] Cotton yield estimation model based on machine learning using time series UAV remote sensing data
Crop yield prediction is of great practical significance for farmers to make reasonable
decisions, such as decisions on crop insurance, storage demand, cash flow budget …
decisions, such as decisions on crop insurance, storage demand, cash flow budget …
Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms
Measuring leaf area index (LAI) is essential for evaluating crop growth and estimating yield,
thereby facilitating high-throughput phenotyping of maize (Zea mays). LAI estimation models …
thereby facilitating high-throughput phenotyping of maize (Zea mays). LAI estimation models …
Flexible wearables for plants
The excellent stretchability and biocompatibility of flexible sensors have inspired an
emerging field of plant wearables, which enable intimate contact with the plants to …
emerging field of plant wearables, which enable intimate contact with the plants to …
Selection of independent variables for crop yield prediction using artificial neural network models with remote sensing data
P Hara, M Piekutowska, G Niedbała - Land, 2021 - mdpi.com
Knowing the expected crop yield in the current growing season provides valuable
information for farmers, policy makers, and food processing plants. One of the main benefits …
information for farmers, policy makers, and food processing plants. One of the main benefits …