IoT-Based Soil Condition Monitoring Framework

2020 ◽  
Author(s):  
Selvakumar Manickam
Keyword(s):  
Condition Monitoring ◽  
Soil Condition ◽  
Monitoring Framework

Condition Monitoring Framework Based on the Cause of Mosque Physical Defects in Kuala Lumpur and Putrajaya

2016 ◽  
Vol 30 (5) ◽  
pp. 04016031 ◽  
Author(s):  
Zaleha Mohd-Noor ◽  
Adi Irfan Che-Ani ◽  
Zamharira Sulaiman ◽  
Mohd Zulhanif Abd-Razak ◽  
Norngainy Mohd Tawil
Keyword(s):  
Condition Monitoring ◽  
Kuala Lumpur ◽  
Monitoring Framework ◽  
Physical Defects

scholarly journals METALS IN OILED PEAT (WESTERN SIBERIA)

2011 ◽  
pp. 67-79
Author(s):  
Yu. Vodianitsky ◽  
A. Savichev ◽  
S. Trofimov ◽  
E. Shishkonakova
Keyword(s):  
Condition Monitoring ◽  
Western Siberia ◽  
Soil Condition ◽  
The State ◽  
Peat Bog ◽  
Peat Layer ◽  
Geochemical Barriers ◽  
Artificial Geochemical Barriers

The study of metals in oil-contaminated peat has double meaning. Firstly, it is diagnostic as convenient and simple The method of soil condition monitoring, and secondly, the ecological method to predict the state of the peat bog as a biocenosis element. Every pollutant elements in contaminated peat are divided into two bands. Some of them (Ti, V, Cr, Ni, Zr, Ba, Y, La, Ce, Nd) accumulate in the upper, bituminous layer of peat. Other elements (halogen chlorine, as well as metals: Ca, Mp, Zn, Cu, Sr), on the contrary, migrate deep into the peat layer with light fractions hydrocarbons. For capturing particularly moving Cu metals, Zn needs to be equipped with artificial geochemical barriers to prevent pollutants from entering groundwater and open ponds.

scholarly journals Mechatronics System Design for Weed Management and Soil Condition Monitoring Within the Rows of Vineyards

2020 ◽  
Vol 9 (4) ◽  
pp. 3088-3094
Keyword(s):  
Condition Monitoring ◽  
Precision Agriculture ◽  
Weed Management ◽  
Complete Removal ◽  
Soil Condition ◽  
Weed Species ◽  
Berry Size ◽  
Living Organisms ◽  
The Right ◽  
Processing Techniques

Weed management always has been a vigorous task for farmers. Grapevines and weeds compete for water, nutrients, sunlight and have an unfavorable impact on berry size and sugar contents, if uncontrolled. More than 95% of herbicides are reported to reach a destination other than the targeted crops, resulting in wastage and many undesirable effects on the humans, other living organisms and the environment. Mechatronic system on agriculture vehicle is proposed for weed management and soil condition monitoring within the rows of the vineyards. Heavy and dense vegetation is first removed mechanically using a rotating knife and then herbicides are sprayed on the identified weeds, which enable it to reach up to the roots of the weeds for complete removal using image processing techniques. The designed Mechatronics system correctly identifies the different weed species and sprays the right quantity of herbicides at the right place and at the right time using the principle of Precision Agriculture. The proposed system also monitors the different parameters of the soil using a variety of sensors.

Passive Impedance-Loaded Surface Acoustic Wave (SAW) Sensor for Soil Condition Monitoring

2020 ◽  
Author(s):  
Jian Chu ◽  
Ioana Voiculescu ◽  
Ziqian Dong ◽  
Fang Li
Keyword(s):  
Acoustic Wave ◽  
Surface Acoustic Wave ◽  
Condition Monitoring ◽  
Low Cost ◽  
Soil Condition ◽  
Nutrient Sensing ◽  
Soil Conditions ◽  
Large Area ◽  
Saw Sensor ◽  
Loaded Surface

Abstract This paper presents an innovative system to monitor the physical soil conditions needed for modern agriculture. The current technique to measure soil properties relies on taking samples from place to place and takes them for laboratory testing. To build up and monitor a data-based system for a large area, such a method is costly and time-consuming. This paper reported our recent work on the development of a passive impedance-loaded surface acoustic wave (SAW) sensor for a low-cost soil condition monitoring system. The SAW sensor will eventually be connected to an antenna and a impedance-based sensor for autonomous soil nutrient sensing. In this research, first, the coupling-of-modes (COM) analysis was performed to simulate the SAW device. The sensors were fabricated with E-beam lithography techniques and tested with different external load resistances. We investigated how the sensor signal changed with the external resistance loading. The experimental results were verified by comparing them with simulation results.

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