A bibliometric network analysis of recent publications on digital agriculture to depict strategic themes and evolution structure
The agriculture sector is one of the backbones of many countries' economies. Its processes
have been changing to enable technology adoption to increase productivity, quality, and …
have been changing to enable technology adoption to increase productivity, quality, and …
Research hotspots and frontiers in agricultural multispectral technology: Bibliometrics and scientometrics analysis of the Web of Science
Y Zhang, D Zhao, H Liu, X Huang, J Deng… - Frontiers in Plant …, 2022 - frontiersin.org
Multispectral technology has a wide range of applications in agriculture. By obtaining
spectral information during crop production, key information such as growth, pests and …
spectral information during crop production, key information such as growth, pests and …
Crop yield prediction using multitemporal UAV data and spatio-temporal deep learning models
Unmanned aerial vehicle (UAV) based remote sensing is gaining momentum worldwide in a
variety of agricultural and environmental monitoring and modelling applications. At the same …
variety of agricultural and environmental monitoring and modelling applications. At the same …
Using linear regression, random forests, and support vector machine with unmanned aerial vehicle multispectral images to predict canopy nitrogen weight in corn
The optimization of crop nitrogen fertilization to accurately predict and match the nitrogen (N)
supply to the crop N demand is the subject of intense research due to the environmental and …
supply to the crop N demand is the subject of intense research due to the environmental and …
Estimation of nitrogen content in wheat using indices derived from RGB and thermal infrared imaging
R Li, D Wang, B Zhu, T Liu, C Sun, Z Zhang - Field Crops Research, 2022 - Elsevier
The important period of wheat grain accumulation is from the flowering stage to the filling
stage, and the nitrogen content of wheat in this period is of great significance to the yield …
stage, and the nitrogen content of wheat in this period is of great significance to the yield …
[HTML][HTML] Nitrogen nutrition diagnosis for cotton under mulched drip irrigation using unmanned aerial vehicle multispectral images
Remote sensing has been increasingly used for precision nitrogen management to assess
the plant nitrogen status in a spatial and real-time manner. The nitrogen nutrition index (NNI) …
the plant nitrogen status in a spatial and real-time manner. The nitrogen nutrition index (NNI) …
Assessing grapevine nutrient status from unmanned aerial system (UAS) hyperspectral imagery
This study aimed to identify the optimal sets of spectral bands for monitoring multiple
grapevine nutrients in vineyards. We used spectral data spanning 400–2500 nm and leaf …
grapevine nutrients in vineyards. We used spectral data spanning 400–2500 nm and leaf …
Evaluation of soil properties, topographic metrics, plant height, and unmanned aerial vehicle multispectral imagery using machine learning methods to estimate …
Management of nitrogen (N) fertilizers is an important agricultural practice and field of
research to minimize environmental impacts and the cost of production. To apply N fertilizer …
research to minimize environmental impacts and the cost of production. To apply N fertilizer …
Prediction of Seedling Oilseed Rape Crop Phenotype by Drone-Derived Multimodal Data
Y Yang, X Wei, J Wang, G Zhou, J Wang, Z Jiang… - Remote Sensing, 2023 - mdpi.com
In recent years, unmanned aerial vehicle (UAV) remote sensing systems have advanced
rapidly, enabling the effective assessment of crop growth through the processing and …
rapidly, enabling the effective assessment of crop growth through the processing and …
Estimation of grain yield in wheat using source–sink datasets derived from RGB and thermal infrared imaging
R Li, D Wang, B Zhu, T Liu, C Sun… - Food and Energy …, 2023 - Wiley Online Library
Timely and efficient monitoring of crop aboveground biomass (AGB) and grain yield (GY)
forecasting before harvesting are critical for improving crop yields and ensuring food security …
forecasting before harvesting are critical for improving crop yields and ensuring food security …