Frontiers in plant science
Dec 10, 2024
Accurate nitrogen diagnosis is essential for optimizing rice yield and sustainability. This study investigates the potential of using multi-leaf SPAD measurements combined with machine learning models to improve nitrogen nutrition diagnostics in rice...
Frontiers in plant science
Dec 9, 2024
In recent years, the fall armyworm, has rapidly emerged as a global invasive pest, challenging the maize production and leading to considerable economic losses. Developing resistant hybrids is essential for sustainable maize cultivation, which requi...
Frontiers in plant science
Dec 9, 2024
Frontiers in plant science
Dec 9, 2024
In order to achieve precise discrimination of leaf diseases in the Maize/Soybean intercropping system, i.e. leaf spot disease, rust disease, mixed leaf diseases, this study utilized hyperspectral imaging and deep learning algorithms for the classific...
Frontiers in plant science
Feb 21, 2024
INTRODUCTION: Drought detection, spanning from early stress to severe conditions, plays a crucial role in maintaining productivity, facilitating recovery, and preventing plant mortality. While handheld thermal cameras have been widely employed to tra...
Frontiers in plant science
Jan 24, 2024
Classification of rice disease is one significant research topics in rice phenotyping. Recognition of rice diseases such as , , , , and are a critical research field in rice phenotyping. However, accurately identifying these diseases is a challengin...
Frontiers in plant science
Jan 16, 2024
Historically, plant and crop sciences have been quantitative fields that intensively use measurements and modeling. Traditionally, researchers choose between two dominant modeling approaches: mechanistic plant growth models or data-driven, statistica...
Frontiers in plant science
Jan 15, 2024
The composition of (Tai-Zi-Shen, TZS) is greatly influenced by the growing area of the plants, making it significant to distinguish the origins of TZS. However, traditional methods for TZS origin identification are time-consuming, laborious, and des...
Frontiers in plant science
Jan 11, 2024
Uneven illumination, obstruction of leaves or branches, and the overlapping of fruit significantly affect the accuracy of tomato detection by automated harvesting robots in natural environments. In this study, a proficient and accurate algorithm for ...
Frontiers in plant science
Jan 11, 2024
Improving the quality of the appearance of rice is critical to meet market acceptance. Mining putative quality-related genes has been geared towards the development of effective breeding approaches for rice. In the present study, two SL-GWAS (CMLM an...