[HTML][HTML] A review of globally available data sources for modelling the Water-Energy-Food Nexus
Abstract The Water-Energy-Food Nexus (WEFN) is gaining attention as an important
approach to manage resources more holistically. Data availability, however, is a crucial …
approach to manage resources more holistically. Data availability, however, is a crucial …
农业遥感研究应用进展与展望
陈仲新， 任建强， 唐华俊， 史云， 冷佩， 刘佳， 王利民… - 遥感学报, 2021 - ygxb.ac.cn
得益于中国自主遥感卫星, 无人机遥感和物联网等技术的发展, 中国农业遥感研究与应用在过去
20 年取得了显著进步, 中国农业遥感信息获取呈现出天地网一体化的趋势; 农业定量遥感在关键 …
20 年取得了显著进步, 中国农业遥感信息获取呈现出天地网一体化的趋势; 农业定量遥感在关键 …
Perspective of Chinese GF-1 high-resolution satellite data in agricultural remote sensing monitoring
High-resolution satellite data have been playing an important role in agricultural remote
sensing monitoring. However, the major data sources of high-resolution images are not …
sensing monitoring. However, the major data sources of high-resolution images are not …
无人机影像光谱和纹理融合信息估算马铃薯叶片叶绿素含量.
陈鹏， 冯海宽， 李长春， 杨贵军… - Transactions of the …, 2019 - search.ebscohost.com
利用无人机平台搭载多光谱传感器在农业监测上已经有一些应用, 但是利用无人机多光谱影像
估算作物叶绿素含量的研究较少, 特别是融合无人机多光谱影像光谱信息和纹理信息估算马铃薯 …
估算作物叶绿素含量的研究较少, 特别是融合无人机多光谱影像光谱信息和纹理信息估算马铃薯 …
Future perspectives on progressive farming with adoption of virtual reality technology for sustainable quality in agriculture
Purpose The paper aims to evaluate how progressive stakeholders view the adoption of
contemporary techniques such as virtual technology in driving sustainable quality in an …
contemporary techniques such as virtual technology in driving sustainable quality in an …
Estimation of chlorophyll content in potato using fusion of texture and spectral features derived from UAV multispectral image
P Chen, H Feng, C Li, G Yang, J Yang… - Transactions of the …, 2019 - aeeisp.com
Chlorophyll is an important pigment for crop light energy utilization, which directly affects the
process of energy material conversion and transmission. The change of chlorophyll content …
process of energy material conversion and transmission. The change of chlorophyll content …
Predicting sugarcane harvest date and productivity with a drone-borne tri-band SAR
This article presents a novel method for predicting the sugarcane harvesting date and
productivity using a three-band imaging radar. Taking advantage of working with a multi …
productivity using a three-band imaging radar. Taking advantage of working with a multi …
[HTML][HTML] Development of a UAS-Based Multi-Sensor Deep Learning Model for Predicting Napa Cabbage Fresh Weight and Determining Optimal Harvest Time
DH Lee, JH Park - Remote Sensing, 2024 - mdpi.com
The accurate and timely prediction of Napa cabbage fresh weight is essential for optimizing
harvest timing, crop management, and supply chain logistics, which ultimately contributes to …
harvest timing, crop management, and supply chain logistics, which ultimately contributes to …
Agriculture phenology monitoring using NDVI time series based on remote sensing satellites: a case study of Guangdong, China
This article presents the use of the Normalized Differences Vegetation Index (NDVI) time
series based change detection method for agriculture phenology monitoring. NDVI make …
series based change detection method for agriculture phenology monitoring. NDVI make …
eFarm: a tool for better observing agricultural land systems
Currently, observations of an agricultural land system (ALS) largely depend on remotely-
sensed images, focusing on its biophysical features. While social surveys capture the …
sensed images, focusing on its biophysical features. While social surveys capture the …