Frontiers in plant science
Feb 21, 2025
Tomato ( L.) cultivation is crucial globally due to its nutritional and economic value. However, the crop faces significant threats from various pests, including , , and , among others. These pests not only reduce yield but also increase production c...
Frontiers in plant science
Feb 13, 2025
Mung bean seeds are very important in agricultural production and food processing, but due to their variety and similar appearance, traditional classification methods are challenging, to address this problem this study proposes a deep learning-based ...
Frontiers in plant science
Feb 3, 2025
Accurate counting of crop plants is essential for agricultural science, particularly for yield forecasting, field management, and experimental studies. Traditional methods are labor-intensive and prone to errors. Unmanned Aerial Vehicle (UAV) technol...
Frontiers in plant science
Jan 29, 2025
Water scarcity and labor shortage pose significant challenges in rice farming. Direct-seeded rice (DSR) is an efficient method that conserves water, reduces labor costs, and allows for full mechanization of cultivation. However, variable planting dep...
Frontiers in plant science
Jan 22, 2025
The leaf area index (LAI) is a critical parameter for characterizing plant foliage abundance, canopy structure changes, and vegetation productivity in ecosystems. Traditional phenological measurements are often destructive, time-consuming, and labor-...
Frontiers in plant science
Jan 21, 2025
Phytochromes are essential photoreceptors in plants that sense red and far-red light, playing a vital role in regulating plant growth and development through light signal transduction. Despite extensive research on phytochromes in model plants like ...
Frontiers in plant science
Jan 15, 2025
Tea is an important economic product in China, and tea picking is a key agricultural activity. As the practice of tea picking in China gradually shifts towards intelligent and mechanized methods, artificial intelligence recognition technology has bec...
Frontiers in plant science
Jan 15, 2025
The Leaf Area Index (LAI) is an essential parameter that affects the exchange of energy and materials between the vegetative canopy and the surrounding environment. Estimating LAI using machine learning models with remote sensing data has become a pr...
Frontiers in plant science
Jan 14, 2025
Chlorophyll density (ChD) can reflect the photosynthetic capacity of the winter wheat population, therefore achieving real-time non-destructive monitoring of ChD in winter wheat is of great significance for evaluating the growth status of winter whea...
Frontiers in plant science
Jan 13, 2025
Spectral analysis is a widely used method for monitoring photosynthetic capacity. However, vegetation indices-based linear regression exhibits insufficient utilization of spectral information, while full spectra-based traditional machine learning has...