[HTML][HTML] Current status and future trends of precision agricultural aviation technologies
Y Lan, C Shengde, BK Fritz - International Journal of Agricultural and …, 2017 - ijabe.org
Modern technologies and information tools can be used to maximize agricultural aviation
productivity allowing for precision application of agrochemical products. This paper reviews …
productivity allowing for precision application of agrochemical products. This paper reviews …
Remote sensing-based estimation of rice yields using various models: A critical review
DMG dela Torre, J Gao… - Geo-Spatial Information …, 2021 - Taylor & Francis
Reliable estimation of region-wide rice yield is vital for food security and agricultural
management. Field-scale models have increased our understanding of rice yield and its …
management. Field-scale models have increased our understanding of rice yield and its …
Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images
Forecasting rice grain yield prior to harvest is essential for crop management, food security
evaluation, food trade, and policy-making. Many successful applications have been made in …
evaluation, food trade, and policy-making. Many successful applications have been made in …
[PDF][PDF] 农业遥感研究现状与展望
史舟, 梁宗正, 杨媛媛, 郭燕 - 农业机械学报, 2015 - researchgate.net
遥感技术具有覆盖面积大, 重访周期短, 获取成本相对低等优势, 对大面积露天农业生产的调查,
评价, 监测和管理具有独特的作用. 从20 世纪70 年代出现民用资源卫星后 …
评价, 监测和管理具有独特的作用. 从20 世纪70 年代出现民用资源卫星后 …
Prediction of winter wheat yield based on multi-source data and machine learning in China
Wheat is one of the main crops in China, and crop yield prediction is important for regional
trade and national food security. There are increasing concerns with respect to how to …
trade and national food security. There are increasing concerns with respect to how to …
[HTML][HTML] Sequential forward selection and support vector regression in comparison to LASSO regression for spring wheat yield prediction based on UAV imagery
Traditional plant breeding based on selection for grain yield is time-consuming and costly;
therefore, new innovative methods are in high demand to reduce costs and accelerate …
therefore, new innovative methods are in high demand to reduce costs and accelerate …
Rural roads and local economic development
Nearly one billion people worldwide live in rural areas without access to national paved
road networks. We estimate the impacts of India's $40 billion national rural road construction …
road networks. We estimate the impacts of India's $40 billion national rural road construction …
[HTML][HTML] Combining spectral and textural information in UAV hyperspectral images to estimate rice grain yield
F Wang, Q Yi, J Hu, L Xie, X Yao, T Xu… - International Journal of …, 2021 - Elsevier
The speedy development of UAV (Unmanned Aerial Vehicle) has provided more data
choices for crop yield estimation. In most cases, spectral information derived from …
choices for crop yield estimation. In most cases, spectral information derived from …
Prediction of field-scale wheat yield using machine learning method and multi-spectral UAV data
C Bian, H Shi, S Wu, K Zhang, M Wei, Y Zhao, Y Sun… - Remote Sensing, 2022 - mdpi.com
Accurate prediction of food crop yield is of great significance for global food security and
regional trade stability. Since remote sensing data collected from unmanned aerial vehicle …
regional trade stability. Since remote sensing data collected from unmanned aerial vehicle …
[HTML][HTML] Crop yield prediction from multi-spectral, multi-temporal remotely sensed imagery using recurrent 3D convolutional neural networks
M Qiao, X He, X Cheng, P Li, H Luo, L Zhang… - International Journal of …, 2021 - Elsevier
Crop yield prediction has played a vital role in maintaining food security and has been
extensively investigated in recent decades. Most research has focused on excavating fixed …
extensively investigated in recent decades. Most research has focused on excavating fixed …