AI Medical Compendium Journal:
Frontiers in plant science

Showing 31 to 40 of 63 articles

Integrated web portal for non-destructive salt sensitivity detection of seeds using fluorescent and visible light images coupled with machine learning algorithms.

Frontiers in plant science
Climate change has created unprecedented stresses in the agricultural sector, driving the necessity of adapting agricultural practices and developing novel solutions to the food crisis. (Camelina) is a recently emerging oilseed crop with high nutrie...

Spatial prediction of winter wheat yield gap: agro-climatic model and machine learning approaches.

Frontiers in plant science
This study aimed to identify the most influential soil and environmental factors for predicting wheat yield (WY) in a part of irrigated croplands in southwest Iran, using the FAO-Agro-Climate method and machine learning algorithms (MLAs). A total of ...

Termiticidal, biochemical, and morpho-histological effects of botanical based nanoemulsion against a subterranean termite, Shiraki.

Frontiers in plant science
Recently, the use of nanopesticides has shown significant efficacy in the control of many pests. However, the effect of nanopesticides, especially nanoemulsions, on suppressing termites, (Shiraki, 1909) (), has not been studied yet. Therefore, this ...

Enhancing estimation of cover crop biomass using field-based high-throughput phenotyping and machine learning models.

Frontiers in plant science
Incorporating cover crops into cropping systems offers numerous potential benefits, including the reduction of soil erosion, suppression of weeds, decreased nitrogen requirements for subsequent crops, and increased carbon sequestration. The abovegrou...

PDSE-Lite: lightweight framework for plant disease severity estimation based on Convolutional Autoencoder and Few-Shot Learning.

Frontiers in plant science
Plant disease diagnosis with estimation of disease severity at early stages still remains a significant research challenge in agriculture. It is helpful in diagnosing plant diseases at the earliest so that timely action can be taken for curing the di...

Zero-exemplar deep continual learning for crop disease recognition: a study of total variation attention regularization in vision transformers.

Frontiers in plant science
With the increasing integration of AI technology in the food industry, deep learning has demonstrated its immense potential in the domain of plant disease image recognition. However, there remains a gap in research between models capable of continual...

Maize plant detection using UAV-based RGB imaging and YOLOv5.

Frontiers in plant science
In recent years, computer vision (CV) has made enormous progress and is providing great possibilities in analyzing images for object detection, especially with the application of machine learning (ML). Unmanned Aerial Vehicle (UAV) based high-resolut...

Multi temporal multispectral UAV remote sensing allows for yield assessment across European wheat varieties already before flowering.

Frontiers in plant science
High throughput field phenotyping techniques employing multispectral cameras allow extracting a variety of variables and features to predict yield and yield related traits, but little is known about which types of multispectral features are optimal t...

Research on a UAV spray system combined with grid atomized droplets.

Frontiers in plant science
BACKGROUNDS: UAVs for crop protection hold significant potential for application in mountainous orchard areas in China. However, certain issues pertaining to UAV spraying need to be addressed for further technological advancement, aimed at enhancing ...

Combining spectral and texture feature of UAV image with plant height to improve LAI estimation of winter wheat at jointing stage.

Frontiers in plant science
INTRODUCTION: Leaf area index (LAI) is a critical physiological and biochemical parameter that profoundly affects vegetation growth. Accurately estimating the LAI for winter wheat during jointing stage is particularly important for monitoring wheat g...