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The purpose of this work is to make an IoT-based low-cost and power-efficient portable system to control irrigation using a threshold value algorithm and to measure soil-irrigation-related parameters such as soil moisture, soil temperature, humidity and air temperature.

This paper presents a threshold value algorithm to optimize power consumption and to control irrigation process.

The system uses ESP-12F 8266 as the main microcontroller unit to monitor and control irrigation system. The system also consists of an actuator system that triggers automatically based on a threshold value algorithm. An open-source cloud platform is used to monitor and store all the data for future perspective. To make the system run for a long time without any human intervention, a solar panel is used as an alternate source of energy for charging the 12V lithium-ion battery. The battery takes 2.64 h for full charging considering peak intensity of sunlight. A capacitive moisture sensor is included using less expensive 555 timer and calibrated to measure water content in the soil. The 555 timer is used in astable mode of configuration to generate a signal of 572 KHz. The calibrated sensor data when compared with a standard SEN0193 moisture sensor shows an error of 3.4%. The prototype model is made to optimize the power consumption. This can be achieved by utilizing sleep mode of ESP-12F 8266. The total cost involved to make the system is 3900.55 Indian rupees and around US$54.90.

The device is tested in a flower garden during winter season of Nagaland, India, for 75 days to collect all the data and to automate the irrigation process.

The proposed threshold value algorithm optimizes the power consumption of the device, and wastage of water is reduced up to 60% as compared to the traditional method of irrigation.

This chapter presents the Smart Irrigation system using the Internet of Things (IoT). IoT Technology is a network of physical objects that are connected with sensors, software, etc. This chapter concludes the project based on the agriculture field that automates the irrigation process and on the agriculture field that automates the irrigation process and solves the challenge of water consumption in those areas. We have developed the system using different sensors like (1) Soil Moisture sensor, which measures the moisture present in the soil, (2) Humidity and Temperature Sensor (DHT11), which traces the temperature change. All these sensors are connected to the Node MCU ESP8266 microcontroller, which is also a Wi-Fi module. It uploads the data to the cloud and displays it in the form of readings detected by the Blynk Application. This sensor's reading values control the pump for emergency purposes, such as stopping the pump for irrigation. Thus, this project can automate the irrigation process by analyzing soil moisture and climatic conditions, covering essential aspects like less labor, power consumption, reliability, and cost.

This paper aims to determine and evaluate the calibration curve for low-cost electronic sensors in soils from a reclaimed and degraded area in the Brazilian semiarid region.

The probes were made, programmed and inserted in soil previously conditioned in polyethylene cylinders. The sets “cylinder + probe + soil” were subjected to saturation for a period of 24 h and, subsequently, gravitational drainage at room temperature and daily weighings were performed. When the set reached constant weight, the samples were taken to dry in an oven at 105°C to determine the dry mass and later, determine the gravimetric moisture and convert it into volumetric. The volumetric moistures obtained were related to measured frequency variations and the adjustments were analyzed by regression, which was subjected to analysis of variance (p = 0.05), and related by a third-degree polynomial equation whose quality of the fit was verified with coefficient of determination (R²).

The obtained moistures were related to the estimated moistures and evaluated by the root-mean-square error and straight 1:1. The results demonstrate that the sensors are not accurate for moistures in saturation, but representative and statistically acceptable results for moistures up to field capacity.

This paper has not been published before in its current, or similar form.

This study aims to illustrate the growing role that sensors play in agriculture, with an emphasis on precision agricultural practices.

Following a short introduction, this study first provides an overview of agricultural measurements and applications. It then discusses the importance of airborne and land-based optical sensing techniques and the role of the normalised difference vegetation index. Sensors used on conventional and robotic agricultural machines are considered next, and fixed sensors and sensor networks are then discussed. Finally, brief concluding comments are drawn.

This shows that much modern agriculture is a high-technology business which relies on a multitude of sensor-based measurements. Sensors are based on a diversity of optical and other technologies and measure a wide range of physical and chemical variables. They are deployed in the air, on agricultural machines and in the field and generate data that can be used to enhance productivity and reduce both costs and the impact on the environment.

This provides a detailed insight into the important role played by sensors in modern agricultural practices.

The purpose of this paper is to analyze the moisture measurement techniques presently available, as accurate determination of the moisture content (MC) of grains or any food items at right time is very important for its processing, marketing and storing.

There are basically two types of MC measurement techniques – destructive method and non-destructive method. In the time-consuming destructive method, cleaning of the food items is done and shells of food items like peanuts are removed for which man power is required and so the technique becomes costly. A literature review of the existing non-destructive methods has been done, and the methodology of each approach is explained with the figure. The less time-consuming non-destructive technique used to measure MC require less man power, as grains or food items can be directly used without any process like cleaning or crushing so that the technique become economic.

Most of the techniques used magnetic or electric properties to measure the MC indirectly. The problem with existing non-destructive technique is that measurement of MC uses only few numbers or grams of grains or food items at a time.

The farmers’ produce large quantity of grains. The small quantity of grains cannot be the representative sample for whole grains produced by the farmers. Most of the techniques use only small quantity of grains or food items at a time to measure the MC which is not accurate and representative of the produce. Also, the techniques are not simple and easily available. The cost of the techniques or arrangement to measure the MC is not reasonable.

Most of the farmers in the developing countries are financially backward. To store the agricultural produce, MC of the commodities is a key factor influencing the quality of the storage. Measurement of the MC of the seeds is thus very important for the farmers.

This paper is a review of the previous research that happened in this area, and it would help the researcher to know the techniques already been used. To the knowledge of the authors, the review of the existing moisture measurement of seeds/agricultural commodities is available in the literature.

This paper aims to focus on research work related to metamaterial-based sensors for material characterization that have been developed for past ten years. A decade of research on metamaterial for sensing application has led to the advancement of compact and improved sensors.

In this study, relevant research papers on metamaterial sensors for material characterization published in reputed journals during the period 2007-2018 were reviewed, particularly focusing on shape, size and nature of materials characterized. Each sensor with its design and performance parameters have been summarized and discussed here.

As metamaterial structures are excited by electromagnetic wave interaction, sensing application throughout electromagnetic spectrum is possible. Recent advancement in fabrication techniques and improvement in metamaterial structures have led to the development of compact, label free and reversible sensors with high sensitivity.

The paper provides useful information on the development of metamaterial sensors for material characterization.

The aim of this study was to prove that radio-frequency (RF) energy with 13.56 MHz can be used for heating building structures in a controlled manner exploiting the advantage that homogeneous heating with sufficient penetration depths can be achieved.

Because parallel electrodes on both sides of the heated structure cannot be used in many practical applications, two special electrode designs have been developed by modeling the field distribution and energy absorption and by carrying out test experiments to validate the simulation results.

One solution is based on a two-dimensional surface capacitor providing certain penetration depths and being especially suitable for treating thin structures such as wooden parquet floor. Such an arrangement can be particularly used for pest control even when sensitive surfaces have to be protected. The other solution uses a capacitive coupling between the grounded shielding and an electrode or an equivalent structure (e.g. moist soil) at the other side of the masonry to establish a sufficiently strong electrical field between a “hot” electrode on the side of the shielding and the coupled rear electrode.

Both solutions significantly enhance the application potential of RF heating.

This paper aims to concentrate on research that has been conducted in the previous decade on metamaterial (MTM)-based sensors for material characterization, which includes solid dielectrics, micro fluids and biomolecules.

There has been a vast advancement in sensors based on MTM since the past few decades. MTM elements provide a sensitive response to materials while having a tiny footprint, making them an appealing alternative for realizing diverse sensing devices.

Related research papers on MTM sensors published in reputable journals were reviewed in this report, with a specific emphasis on the structure, size and nature of the materials characterized. Because electromagnetic wave interaction excites MTM structures, sensing applications around the electromagnetic spectrum are possible.

The paper contains valuable information on MTM sensor technology for material characterization, and this study also highlights the challenges and approaches that will guide future development.

The paper aims to present an innovative solution for evaluation study of the dampness level of walls and historical buildings.

Electrical tomography enables one to obtain a distribution pattern of wall dampness. The application of modern tomographic techniques in conjunction with topological algorithms will allow one to perform very accurate spatial assessment of the dampness levels of buildings. The proposed application uses the total variation, Gauss–Newton and level set method to solve the inverse problem in electrical tomography.

Research shows that electrical tomography can provide effective results in damp buildings. This method can provide 2D/3D moisture distribution pattern.

The impact of this technique will be limited to inspection of the facility after floods or assessment of historical buildings.

The presented method could eventually lead to a much more effective evaluation of moisture in the walls.

The solution has commercial potential and could result in more cost-effective monitoring of historical buildings, which have an economic impact on society.

The authors propose a system for imaging spatial moistness of walls and historic buildings based on electrical tomography and consisting of a measuring device, sensors and image reconstruction algorithms.