AIMC Topic: Agriculture
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Analyzing the performance of fluorescence parameters in the monitoring of leaf nitrogen content of paddy rice.
Scientific reports
Jun 28, 2016
Leaf nitrogen content (LNC) is a significant factor which can be utilized to monitor the status of paddy rice and it requires a reliable approach for fast and precise quantification. This investigation aims to quantitatively analyze the correlation b...
A Comparative Analysis of Machine Learning with WorldView-2 Pan-Sharpened Imagery for Tea Crop Mapping.
Sensors (Basel, Switzerland)
Apr 26, 2016
Tea is an important but vulnerable economic crop in East Asia, highly impacted by climate change. This study attempts to interpret tea land use/land cover (LULC) using very high resolution WorldView-2 imagery of central Taiwan with both pixel and obj...
Typha latifolia (broadleaf cattail) as bioindicator of different types of pollution in aquatic ecosystems-application of self-organizing feature map (neural network).
Environmental science and pollution research international
Apr 5, 2016
The contents of Cd, Cu, Fe, Mn, Ni, Pb, and Zn in leaves of Typha latifolia (broadleaf cattail), water and bottom sediment from 72 study sites designated in different regions of Poland were determined using atomic absorption spectrometry. The aim of ...
Fuzzy logic-based assessment for mapping potential infiltration areas in low-gradient watersheds.
Journal of environmental management
Apr 1, 2016
This paper gives an account of the design a logic-based approach for identifying potential infiltration areas in low-gradient watersheds based on remote sensing data. This methodological framework is applied in a sector of the Pampa Plain, Argentina,...
Merge Fuzzy Visual Servoing and GPS-Based Planning to Obtain a Proper Navigation Behavior for a Small Crop-Inspection Robot.
Sensors (Basel, Switzerland)
Feb 24, 2016
The concept of precision agriculture, which proposes farming management adapted to crop variability, has emerged in recent years. To effectively implement precision agriculture, data must be gathered from the field in an automated manner at minimal c...
An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland.
Environmental monitoring and assessment
Jan 16, 2016
A predictive model for streamflow has practical implications for understanding the drought hydrology, environmental monitoring and agriculture, ecosystems and resource management. In this study, the state-or-art extreme learning machine (ELM) model w...
Evidence of Water Quality Degradation in Lower Mekong Basin Revealed by Self-Organizing Map.
PloS one
Jan 5, 2016
To reach a better understanding of the spatial variability of water quality in the Lower Mekong Basin (LMB), the Self-Organizing Map (SOM) was used to classify 117 monitoring sites and hotspots of pollution within the basin identified according to wa...
GIS Fuzzy Expert System for the assessment of ecosystems vulnerability to fire in managing Mediterranean natural protected areas.
Journal of environmental management
Dec 14, 2015
A significant threat to the natural and cultural heritage of Mediterranean natural protected areas (NPAs) is related to uncontrolled fires that can cause potential damages related to the loss or a reduction of ecosystems. The assessment and mapping o...
An Analytic Model for the Success Rate of a Robotic Actuator System in Hitting Random Targets.
Sensors (Basel, Switzerland)
Nov 20, 2015
Autonomous robotic systems are increasingly being used in a wide range of applications such as precision agriculture, medicine, and the military. These systems have common features which often includes an action by an "actuator" interacting with a ta...
The Node Deployment of Intelligent Sensor Networks Based on the Spatial Difference of Farmland Soil.
Sensors (Basel, Switzerland)
Nov 11, 2015
Considering that agricultural production is characterized by vast areas, scattered fields and long crop growth cycles, intelligent wireless sensor networks (WSNs) are suitable for monitoring crop growth information. Cost and coverage are the most key...
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