scholarly journals Evaluation of adaptive neural-based fuzzy inference system approach for estimating saturated soil water content

2016 ◽  
Vol 2 (4) ◽  
pp. 1-6 ◽  
Author(s):  
Fereshte Haghighi Fashi
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Fuzzy Inference System ◽  
System Approach ◽  
Fuzzy Inference ◽  
Saturated Soil ◽  
Inference System

Modeling soil water content in extreme arid area using an adaptive neuro-fuzzy inference system

2015 ◽  
Vol 527 ◽  
pp. 679-687 ◽  
Author(s):  
Jianhua Si ◽  
Qi Feng ◽  
Xiaohu Wen ◽  
Haiyang Xi ◽  
Tengfei Yu ◽  
...  
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Arid Area ◽  
Inference System ◽  
Neuro Fuzzy

MITIGATION YIELD SCALED METHANE EMISSION FROM RICE GROWN IN WATER STRESS CONDITIONS WITH BIOCHAR AND SILICATE AMENDMENTS

2021 ◽  
Author(s):  
MUHAMMAD ASLAM ALI ◽  
SANJIT CHANDRA BARMAN ◽  
MD. ASHRAFUL ISLAM KHAN ◽  
MD. BADIUZZAMAN KHAN ◽  
HAFSA JAHAN HIYA
Keyword(s):  
Water Stress ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Field Capacity ◽  
Saturated Soil ◽  
Rice Grain ◽  
Standing Water ◽  
Water Contents ◽  
Soil Water Contents

Climate change and water scarcity may badly affect existing rice production system in Bangladesh. With a view to sustain rice productivity and mitigate yield scaled CH4 emission in the changing climatic conditions, a pot experiment was conducted under different soil water contents, biochar and silicate amendments with inorganic fertilization (NPKS). In this regard, 12 treatments combinations of biochar, silicate and NPKS fertilizer along with continuous standing water (CSW), soil saturation water content and field capacity (100% and 50%) moisture levels were arranged into rice planted potted soils. Gas samples were collected from rice planted pots through Closed Chamber technique and analyzed by Gas Chromatograph. This study revealed that seasonal CH4 emissions were suppressed through integrated biochar and silicate amendments with NPKS fertilizer (50–75% of the recommended doze), while increased rice yield significantly at different soil water contents. Biochar and silicate amendments with NPKS fertilizer (50% of the recommended doze) increased rice grain yield by 10.9%, 18.1%, 13.0% and 14.2%, while decreased seasonal CH4 emissions by 22.8%, 20.9%, 23.3% and 24.3% at continuous standing water level (CSW) (T9), at saturated soil water content (T10), at 100% field capacity soil water content (T11) and at 50% field capacity soil water content (T12), respectively. Soil porosity, soil redox status, SOC and free iron oxide contents were improved with biochar and silicate amendments. Furthermore, rice root oxidation activity (ROA) was found more dominant in water stress condition compared to flooded and saturated soil water contents, which ultimately reduced seasonal CH4 emissions as well as yield scaled CH4 emission. Conclusively, soil amendments with biochar and silicate fertilizer may be a rational practice to reduce the demand for inorganic fertilization and mitigate CH4 emissions during rice cultivation under water stress drought conditions.

A Supervisory Neural Network and Fuzzy Inference System Approach to an Unmanned Aerial Vehicle Tail-Chase Scenario

2019 ◽  
Author(s):  
Timothy J. Arnett ◽  
Kelly Cohen ◽  
Brandon Cook ◽  
David Casbeer
Keyword(s):  
Neural Network ◽  
Unmanned Aerial Vehicle ◽  
Fuzzy Inference System ◽  
System Approach ◽  
Fuzzy Inference ◽  
Inference System ◽  
Aerial Vehicle

An Adaptive Network Fuzzy Inference System Approach for Site investigation

2014 ◽  
Vol 37 (3) ◽  
pp. 20120018 ◽  
Author(s):  
Primož Jelušič ◽  
Bojan žlender
Keyword(s):  
Fuzzy Inference System ◽  
System Approach ◽  
Fuzzy Inference ◽  
Site Investigation ◽  
Adaptive Network ◽  
Inference System
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