doi:10.1088/1755-1315/1225/1/012104

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Publication Date

Fri Sep 15 2023

Journal Name

Iop Conference Series: Earth And Environmental Science

Volume

1225

DOI

10.1088/1755-1315/1225/1/012104

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Determine, Predict and Map Soil pH Level by Fiber Optic Sensor

Kriging

SVM

Soil pH

Fiber optic sensor

Mustafa Ahmed Jalal

Firas

Sufyan A.

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AbstractSoil pH is one of the main factors to consider before undertaking any agricultural operation. Methods for measuring soil pH vary, but all traditional methods require time, effort, and expertise. This study aimed to determine, predict, and map the spatial distribution of soil pH based on data taken from 50 sites using the Kriging geostatistical tool in ArcGIS as a first step. In the second step, the Support Vector Machines (SVM) machine learning algorithm was used to predict the soil pH based on the CIE-L*a*b values taken from the optical fiber sensor. The standard deviation of the soil pH values was 0.42, which indicates a more reliable measurement and the data distribution is normal. The Kriging method gave a prediction accuracy of 65% while the SVM algorithm gave an accuracy of 80%. The root mean square error (RMSE) was 0.36, 0.16 and the mean absolute error (MAE) was 0.37, 0.13, respectively, for the two methods. These two methods allow the prediction of soil pH and thus the assessment of soils, allowing for easier and more efficient management decisions and sustaining productivity.

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Publication Date

Thu Jul 01 2021

Journal Name

University Of Northampton Pue

Validating a Proposed Data Mining Approach (SLDM) for Motion Wearable Sensors to Detect the Early Signs of Lameness in Sheep

motion wearable sensors

sensor data mining

supervised machine learning

CART ensemble classifier

sheep lameness detection

sheep behaviour classification

Zainab

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Publication Date

Sun Oct 01 2023

Journal Name

Baghdad Science Journal

Impacts of Denial-of-Service Attack on Energy Efficiency Pulse Coupled Oscillator

Biologically and non-biologically inspired network

Denial-of-service

Pulse coupled oscillator

Security

Transmission state

Wireless sensor network.

Faisal Osman

Nasrina M

Zurina Mohd

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The Pulse Coupled Oscillator (PCO) has attracted substantial attention and widely used in wireless sensor networks (WSNs), where it utilizes firefly synchronization to attract mating partners, similar to artificial occurrences that mimic natural phenomena. However, the PCO model might not be applicable for simultaneous transmission and data reception because of energy constraints. Thus, an energy-efficient pulse coupled oscillator (EEPCO) has been proposed, which employs the self-organizing method by combining biologically and non-biologically inspired network systems and has proven to reduce the transmission delay and energy consumption of sensor nodes. However, the EEPCO method has only been experimented in attack-free networks without

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(3)

Publication Date

Sat Jun 01 2024

Journal Name

Journal Of Engineering

Intelligent Dust Monitoring System Based on IoT

IoT (Internet of Things)

Dust prediction

WSN (Wireless Sensor Network)

Deep Learning (DL)

Long Short-Term Memory (LSTM)

Muna Hadi

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Dust is a frequent contributor to health risks and changes in the climate, one of the most dangerous issues facing people today. Desertification, drought, agricultural practices, and sand and dust storms from neighboring regions bring on this issue. Deep learning (DL) long short-term memory (LSTM) based regression was a proposed solution to increase the forecasting accuracy of dust and monitoring. The proposed system has two parts to detect and monitor the dust; at the first step, the LSTM and dense layers are used to build a system using to detect the dust, while at the second step, the proposed Wireless Sensor Networks (WSN) and Internet of Things (IoT) model is used as a forecasting and monitoring model. The experiment DL system

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Publication Date

Thu Apr 06 2023

Journal Name

Materials Science Forum

Study of the Effect of Ce 3+ on the Gas Sensitivity and Magnetic Properties of CuxCe0.3-XNi0.7Fe2O4 Ferrite Nanoparticles

Tagreed M.

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This study includes the preparation of the ferrite nanoparticles Cu_xCe_0.3-XNi_0.7Fe₂O₄ (where: x = 0, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3) using the sol-gel (auto combustion) method, and citric acid was used as a fuel for combustion. The results of the tests conducted by X-ray diffraction (XRD), emitting-field scanning electron microscopy (FE-SEM), energy-dispersive X-ray analyzer (EDX), and Vibration Sample Magnetic Device (VSM) showed that the compound has a face-centered cubic structure, and the lattice constant is increased with increasing Cu ion. On the other hand, the compound has apparent porosity and spherical particles, and t

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Publication Date

Mon Nov 20 2023

Journal Name

Journal For Research In Applied Sciences And Biotechnology

Article Review: Description Histology to Gastric Ulcer in Human

Gastric ulcer

Gastric juice pH

Mucous defenses

harmonic ulcers

Helicobacter pylori (H. pylori)

non-steroidal anti-inflammatory medicines (NSAIDs)

Proton pump inhibitors (PPIs)

Histamine-2 (H2) receptor inhibitors

Side effects

Recurrence

Pharmacological combination.

Israa Hassan

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A recurrent condition that affects up to 10% of people worldwide is gastric ulceration illness. The existence of gastric juice pH with the lowering of mucous defences is prerequisites for the development of chronic ulcers. The main variables affecting the mucosa susceptibility to damage include Helicobacter pylori (H. pylori) infections or non-steroidal anti-inflammatory medicines (NSAIDs). Proton pump inhibitors (PPIs) including histamine-2 (H2) receptor inhibitors, two common therapies for peptic ulcers, have been linked to side impacts, recurrence or a variety of pharmacological combinations. Conversely, therapeutic herbs or the chemicals they contain may be used to cure or eliminate a wide range of illnesses. Therefore, prominent pharma

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