AIMC Topic: Remote Sensing Technology
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Machine learning models based on remote and proximal sensing as potential methods for in-season biomass yields prediction in commercial sorghum fields.
PloS one
Mar 25, 2021
Crop yield monitoring demonstrated the potential to improve agricultural productivity through improved crop breeding, farm management and commodity planning. Remote and proximal sensing offer the possibility to cut crop monitoring costs traditionally...
A remote sensing derived data set of 100 million individual tree crowns for the National Ecological Observatory Network.
eLife
Feb 19, 2021
Forests provide biodiversity, ecosystem, and economic services. Information on individual trees is important for understanding forest ecosystems but obtaining individual-level data at broad scales is challenging due to the costs and logistics of data...
Reference evapotranspiration of Brazil modeled with machine learning techniques and remote sensing.
PloS one
Feb 9, 2021
Reference evapotranspiration (ETo) is a fundamental parameter for hydrological studies and irrigation management. The Penman-Monteith method is the standard to estimate ETo and requires several meteorological elements. In developing countries, the nu...
A new health prediction model for a sensor network based on belief rule base with attribute reliability.
Scientific reports
Feb 2, 2021
Health prediction plays an essential role in improving the reliability of a sensor network by guiding the network maintenance. However, affected by interference factors in the real operational environment, the reliability of the monitoring informatio...
Active and Passive Electro-Optical Sensors for Health Assessment in Food Crops.
Sensors (Basel, Switzerland)
Dec 29, 2020
In agriculture, early detection of plant stresses is advantageous in preventing crop yield losses. Remote sensors are increasingly being utilized for crop health monitoring, offering non-destructive, spatialized detection and the quantification of pl...
Digital Gastroenterology.
Journal of gastrointestinal and liver diseases : JGLD
Dec 12, 2020
Big data in severe mental illness: the role of electronic monitoring tools and metabolomics.
Personalized medicine
Oct 30, 2020
There is an increasing interest in the development of effective early detection and intervention strategies in severe mental illness (SMI). Ideally, these efforts should lead to the delineation of accurate staging models of SMI enabling personalized ...
The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems.
Current opinion in biotechnology
Oct 7, 2020
Modern agriculture and food production systems are facing increasing pressures from climate change, land and water availability, and, more recently, a pandemic. These factors are threatening the environmental and economic sustainability of current an...
Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning.
Sensors (Basel, Switzerland)
Sep 16, 2020
Potato is the largest non-cereal food crop in the world. Timely estimation of end-of-season tuber production using in-season information can inform sustainable agricultural management decisions that increase productivity while reducing impacts on the...
Scaling Effects on Chlorophyll Content Estimations with RGB Camera Mounted on a UAV Platform Using Machine-Learning Methods.
Sensors (Basel, Switzerland)
Sep 9, 2020
Timely monitoring and precise estimation of the leaf chlorophyll contents of maize are crucial for agricultural practices. The scale effects are very important as the calculated vegetation index (VI) were crucial for the quantitative remote sensing. ...
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