Jianliang Wang

Growth curve parameters of AGB estimated from multi-source remote sensing data enhance wheat yield prediction accuracy

Dongwei Han, Weijun ZHANG, Muhammad Zain, Shaolong Zhu et autres

UAV Hyperspectral Remote Sensing for Wheat CSPAD Estimation Model Based on Fusion of Spectral Parameters

Dongwei Han, Weijun Zhang, Muhammad Zain, Jianliang Wang et autres

Wheat canopy chlorophyll content (CSPAD) is an important physiological parameter characterizing the photosynthetic capacity and nutritional status of crops. Precision agricultural technologies are widely used for non-destructive monitoring of wheat SPAD, but the SPAD inversion models have limitations due to the incorporation …

cn, jp (code pays fourni par la source)

Wheat biomass estimation by fusing color index and canopy volume based on UAV RGB images

Zhaosheng Yao, Dongwei Han, Ruimin Shao, Hainie Zha et autres

cn, de (code pays fourni par la source)

Multimodal Image-Based Estimation of Wheat Waterlogging Stress Using Hyperspectral, Thermal and Fluorescence Features

Jianliang Wang, Tao Liu, Yui Tanjo

Multimodal imaging has emerged as an effective approach for non-destructive crop stress analysis; however, the relative capability of different image modalities to represent stress-related information and the benefits of their integration remain insufficiently quantified. In this study, wheat waterlogging stress is used …

jp, cn (code pays fourni par la source)

Evaluating the Performance of Winter Wheat Under Late Sowing Using UAV Multispectral Data

Yuanyuan Zhao, Hui Wang, Wei Wu, Yi Sun et autres

In the lower and middle sections of the Yangtze River Basin Region (YRBR) in China, challenges posed by climate change and delayed harvesting of preceding crops have hindered the timely sowing of wheat, leading to an increasing prevalence of late-sown wheat fields. …

cn, ca, Tunisie, de, be (code pays fourni par la source)

Investigating the Impact of Sowing Date on Wheat Leaf Morphology Through Image Analysis

Junfan Chen, Jianliang Wang, Jiacheng Wang, Zhi‐An Wang et autres

The morphology of wheat leaves is a key indicator of crop stand quality and photosynthetic capacity, with sowing date being a critical factor influencing leaf morphology. To investigate the effects of sowing time on wheat growth, development, and leaf phenotypes, this study …

cn (code pays fourni par la source)

Estimating Maize Leaf Water Content Using Machine Learning with Diverse Multispectral Image Features

Yuchen Wang, Jianliang Wang, Jiayue Li, Jiacheng Wang et autres

Leaf water content (LWC) is a key physiological parameter for assessing maize moisture status, with direct implications for crop growth and yield. Accurate LWC estimation is essential for water resource management and precision agriculture. This study introduces a high-precision method for estimating …

cn (code pays fourni par la source)

NDVI Estimation Throughout the Whole Growth Period of Multi-Crops Using RGB Images and Deep Learning

Jianliang Wang, Chen Chen, Jiacheng Wang, Zhaosheng Yao et autres

The Normalized Difference Vegetation Index (NDVI) is an important remote sensing index that is widely used to assess vegetation coverage, monitor crop growth, and predict yields. Traditional NDVI calculation methods often rely on multispectral or hyperspectral imagery, which are costly and complex …

cn, de (code pays fourni par la source)

Estimating Rice Leaf Nitrogen Content and Field Distribution Using Machine Learning with Diverse Hyperspectral Features

Ting Tian, Jianliang Wang, Yueyue Tao, Fangfang Ji et autres

Leaf nitrogen content (LNC) is a vital agronomic parameter in rice, commonly used to evaluate photosynthetic capacity and diagnose crop nutrient levels. Nitrogen deficiency can significantly reduce yield, underscoring the importance of accurate LNC estimation for practical applications. This study utilizes hyperspectral …

cn (code pays fourni par la source)

Adaptive DBSCAN Algorithm Based on Sample Density Gradient

Ningwei Xie, Jianliang Wang, Q Zhang

DBSCAN is a classic and commonly applied density-based clustering algorithm, but its clustering accuracy depends on the choice of two input parameters. This paper presents a new algorithm for adaptative parameter determination in DBSCAN. The assumption of this new algorithm is that …

cn (code pays fourni par la source)