Soybean yield prediction from UAV using multimodal data fusion and deep learning
Preharvest crop yield prediction is critical for grain policy making and food security. Early
estimation of yield at field or plot scale also contributes to high-throughput plant phenoty** …
estimation of yield at field or plot scale also contributes to high-throughput plant phenoty** …
Technology and data fusion methods to enhance site-specific crop monitoring
Digital farming approach merges new technologies and sensor data to optimize the quality
of crop monitoring in agriculture. The successful fusion of technology and data is highly …
of crop monitoring in agriculture. The successful fusion of technology and data is highly …
Remote Sensing Image Interpretation: Deep Belief Networks for Multi-Object Analysis
Object Classification in Remote Sensing Imagery holds paramount importance for extracting
meaningful insights from complex aerial scenes. Conventional methods encounter …
meaningful insights from complex aerial scenes. Conventional methods encounter …
Crop monitoring using satellite/UAV data fusion and machine learning
Non-destructive crop monitoring over large areas with high efficiency is of great significance
in precision agriculture and plant phenoty**, as well as decision making with regards to …
in precision agriculture and plant phenoty**, as well as decision making with regards to …
Vegetation index weighted canopy volume model (CVMVI) for soybean biomass estimation from unmanned aerial system-based RGB imagery
Crop biomass estimation with high accuracy at low-cost is valuable for precision agriculture
and high-throughput phenoty**. Recent technological advances in Unmanned Aerial …
and high-throughput phenoty**. Recent technological advances in Unmanned Aerial …
Estimation of soybean grain yield from multispectral high-resolution UAV data with machine learning models in West Africa
Abstract Soybean (Glycine max (L.) Merr.) is a leguminous and oil crop with rapidly growing
importance and demand in Africa following the increasing demand for oil and livestock and …
importance and demand in Africa following the increasing demand for oil and livestock and …
An underwater image vision enhancement algorithm based on contour bougie morphology
Underwater images require further enhancement to improve the image qualities caused by
medium scattering and light absorption. Based on Contour Bougie (CB) morphology, we …
medium scattering and light absorption. Based on Contour Bougie (CB) morphology, we …
Remote sensing in studies of the growing season: a bibliometric analysis
Analyses of climate change based on point observations indicate an extension of the plant
growing season, which may have an impact on plant production and functioning of natural …
growing season, which may have an impact on plant production and functioning of natural …
Enhancement of satellite images based on CLAHE and augmented elk herd optimizer
Satellite images often have very narrow brightness value ranges, so it is necessary to
enhance the contrast and brightness, maintain the quality of visual information, and preserve …
enhance the contrast and brightness, maintain the quality of visual information, and preserve …
Estimating plant nitrogen concentration of rice through fusing vegetation indices and color moments derived from UAV-RGB images
Estimating plant nitrogen concentration (PNC) has been conducted using vegetation indices
(VIs) from UAV-based imagery, but color features have been rarely considered as additional …
(VIs) from UAV-based imagery, but color features have been rarely considered as additional …