Review of ground and aerial methods for vegetation cover fraction (fCover) and related quantities estimation: definitions, advances, challenges, and future …
Vegetation cover fraction (fCover) and related quantities are basic yet critical vegetation
structure variables in various disciplines and applications. Ground-and aerial-based …
structure variables in various disciplines and applications. Ground-and aerial-based …
Daily monitoring of Effective Green Area Index and Vegetation Chlorophyll Content from continuous acquisitions of a multi-band spectrometer over winter wheat
Green area index (GAI), leaf chlorophyll content (LCC) and canopy chlorophyll content
(CCC) are key variables that are closely related to crop growth. Concurrent and continuous …
(CCC) are key variables that are closely related to crop growth. Concurrent and continuous …
Combining high-resolution imaging, deep learning, and dynamic modeling to separate disease and senescence in wheat canopies
Maintenance of sufficiently healthy green leaf area after anthesis is key to ensuring an
adequate assimilate supply for grain filling. Tightly regulated age-related physiological …
adequate assimilate supply for grain filling. Tightly regulated age-related physiological …
VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentation
Applying deep learning to images of crop** systems provides new knowledge and
insights in research and commercial applications. Semantic segmentation or pixel-wise …
insights in research and commercial applications. Semantic segmentation or pixel-wise …
SeptoSympto: a precise image analysis of Septoria tritici blotch disease symptoms using deep learning methods on scanned images
L Mathieu, M Reder, A Siah, A Ducasse… - Plant Methods, 2024 - Springer
Background Investigations on plant-pathogen interactions require quantitative, accurate,
and rapid phenoty** of crop diseases. However, visual assessment of disease symptoms …
and rapid phenoty** of crop diseases. However, visual assessment of disease symptoms …
Enhancing green fraction estimation in rice and wheat crops: a self-supervised deep learning semantic segmentation approach
The green fraction (GF), which is the fraction of green vegetation in a given viewing
direction, is closely related to the light interception ability of the crop canopy. Monitoring the …
direction, is closely related to the light interception ability of the crop canopy. Monitoring the …
Estimation of sorghum seedling number from drone image based on support vector machine and YOLO algorithms
H Chen, H Chen, X Huang, S Zhang, S Chen… - Frontiers in Plant …, 2024 - frontiersin.org
Accurately counting the number of sorghum seedlings from images captured by unmanned
aerial vehicles (UAV) is useful for identifying sorghum varieties with high seedling …
aerial vehicles (UAV) is useful for identifying sorghum varieties with high seedling …
Comparing CNNs and PLSr for estimating wheat organs biophysical variables using proximal sensing
Estimation of biophysical vegetation variables is of interest for diverse applications, such as
monitoring of crop growth and health or yield prediction. However, remote estimation of …
monitoring of crop growth and health or yield prediction. However, remote estimation of …
Analyzing changes in maize leaves orientation due to GxExM using an automatic method from RGB images
M Serouart, R Lopez-Lozano, G Daubige… - Plant …, 2023 - spj.science.org
The sowing pattern has an important impact on light interception efficiency in maize by
determining the spatial distribution of leaves within the canopy. Leaves orientation is an …
determining the spatial distribution of leaves within the canopy. Leaves orientation is an …
Characterisation of grapevine canopy leaf area and inter-row management using Sentinel-2 time series
Accurate data on crop canopy are among the prerequisites for hydrological modelling,
environmental assessment, and irrigation management. In this regard, our study …
environmental assessment, and irrigation management. In this regard, our study …