Implementation of Automatic Soil Moisture Dearth Test and Data Exertion Using Internet of Things

2021 ◽  
pp. 511-517
Author(s):  
P. Nagaraj ◽  
V. Muneeswaran ◽  
M. Pallikonda Rajasekaran ◽  
K. Muthamil Sudar ◽  
M. Sumithra
Keyword(s):  
Soil Moisture ◽  
Internet Of Things

scholarly journals Wi-Fi Enabled IoT Based Smart Greenhouse

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3539-3543
Keyword(s):  
Soil Moisture ◽  
Internet Of Things ◽  
Mobile Phones ◽  
Intelligent System ◽  
State Of The Art ◽  
Emerging Technology ◽  
The Internet ◽  
Climatic Parameters ◽  
Artificial Environment ◽  
Crops Yield

In this present state-of-the-art, Internet of Things (IOT) is an emerging technology that is making our world smarter. WiFi enabled greenhouse monitoring is an intelligent system which is based on several sensors that monitor various changes in temperature, gas concentrations, light and soil moisture in the greenhouse. This comes with an added advantage or provision of linking all these sensors to your mobile phones or computers/laptops using Wi-Fi and internet services through the concept of Internet of Things (IoT), so that if there are any fluctuations, you will be notified immediately. This provides convenient control, through manual operations if necessary, of the greenhouse anytime and anywhere as long as the device is connected to the internet. In this an artificial environment is created so that the crops yield more crops per square meter compared to open field cultivation since the micro climatic parameters that determine crop yield are continuously examined and controlled to ensure that an optimum environment is created.

scholarly journals AUTOMATION USING IOT IN GREENHOUSE ENVIRONMENT

2019 ◽  
Vol 01 (01) ◽  
pp. 38-47 ◽  
Author(s):  
Jennifer S. Raj ◽  
Vijitha Ananthi J
Keyword(s):  
Soil Moisture ◽  
Internet Of Things ◽  
Embedded System ◽  
Climatic Condition ◽  
The Internet ◽  
Green House ◽  
Large Structures ◽  
The Embedded System ◽  
House Automation ◽  
The Internet Of Things

Green house is generally a building of small or large structures. The structure of the green house is made of walls and the translucent roof, with the capability of maintaining the planned climatic condition. It ensures the growth of plants that requires a specified level of soil moisture, sunlight, humidity and temperature. The green house systems available are human monitored systems that entail the continuous human visit causing distress to the worker and also decrease in the yield if the temperature and the humidity are not properly and regularly maintained. This paves way for the concept of the green house automation. The green house automation formed by the incorporation of the Internet of things and the embedded system addresses the problem faced in the green house and provides with the automated controlling and monitoring of the green house environment replacing the undeviating administration of the farmers. This paper also proposes the automation using internet of things in green house environment by using the Netduino 3 and employing the sensors for the sensing the moisture, temperature, sunlight and humidity, to enhance the production rate and minimize the discomfort caused to the farmers.

Monitoring of Soil Moisture and Atmospheric Sensors with Internet of Things (IoT) Applied in Precision Agriculture

2020 ◽  
Author(s):  
Alessandra Dutra Coelho ◽  
Bruno Guilherme Dias ◽  
Wanderson de Oliveira Assis ◽  
Fernando de Almeida Martins ◽  
Rogerio Cassares Pires
Keyword(s):  
Soil Moisture ◽  
Internet Of Things ◽  
Precision Agriculture

scholarly journals A high-sensitivity multilayer soil moisture monitoring sensor based on a double high-frequency tuning detection circuit

2020 ◽  
Vol 16 (2) ◽  
pp. 155014772090782
Author(s):  
Shi Qinglan ◽  
Shi Yujiao ◽  
Liu Xiaochen ◽  
Mei Shuli ◽  
Feng Lei
Keyword(s):  
Soil Moisture ◽  
Internet Of Things ◽  
Root Mean Square Error ◽  
High Frequency ◽  
Detection Method ◽  
Mean Square ◽  
Time Division Multiplexing ◽  
Detection Circuit ◽  
Moisture Detection ◽  
Time Division

The multilayer soil moisture Internet of things sensor is designed to monitor the moisture of multiple soil profiles in real time. Its sensitivity and accuracy are of great concern to improve the performance of sensors. This article introduces the system composition of the end-cloud integrated multilayer soil moisture Internet of things sensor and then focuses on the design of key technologies, such as the moisture detection circuit, the time division multiplexing detection technology, and the deredundancy circuit in the analog–digital integrated design. The performance of the soil moisture detection circuit is directly related to the measurement accuracy of the sensor. A detection method is proposed using a high-frequency double-resonance circuit, which can detect small changes in moisture by changing the circuit detuning voltage. The maximum root mean square error of the calibration is less than 1.35% for five typical soils from different places. Compared with that of an independent detection method, the output consistency of the time division multiplexing detection is significantly improved by using the time division multiplexing detection method, which has a root mean square error of only 0.12%. In order to reduce errors caused by inconsistency in each burial, the gravimetric analysis is used in the sensitivity monitoring test, which shows that small changes in soil moisture can be detected by the circuit.

scholarly journals SISTEM MONITORING DAN OTOMATISASI KELEMBABAN TANAH UDARA DAN SUHU PADA BAYAM BERBASIS ANDROID

2021 ◽  
Vol 9 (2) ◽  
pp. 26-34
Author(s):  
Aditya iriawan pratama Aji
Keyword(s):  
Soil Moisture ◽  
Internet Of Things ◽  
Real Time ◽  
Standard Method ◽  
American Standard

ABSTRACT Bayam merupakan salah satu komoditas pangan yang tumbuh subur dan banyak dijumpai pada tanah air pertiwi. Berdasarkan data yang di himpun dari situs resmi statistik Jakarta terhitung pada tahun 2014-2015 tingkat produksi sayuran bayam dari tahun sebanyak 2247 pada tahun 2014 dan pada tahun 2015 meningkat menjadi 5699 dan semakin kesini produksi bayam semakin menurun tercatat pada tahun 2018 produksi bayam sebesar 3297. Sistem monitoring dan otomatisasi pengontrolan kelembaban tanah, kelembaban udara dan suhu udara pada tanaman bayam dengan android merupakan solusi dari permasalahan yang ada, melalui pemanfaatan Internet of Things (IoT) akan dapat membawa dunia pertanian kedalam industry yang lebih maju dan efisien karena petani tidak perlu terus menerus mengawasi dan menjaga tanaman nya dari lahan tetapi cukup menggunakan remote dari rumah. Sebab sistem bekerja secara otomatis dimana pengguna bisa mengontrol kondisi tanaman melalui aplikasi android, nantinya cukup melalui smartphone petani dapat melakukan monitoring dan penyiraman tanaman otomatis secara real time pada tanaman bayam. Berdasarkan hasil pengujian yang dilakukan sistem dapat melakukan penyiraman otomatis pada saat kondisi kelembaban tanah < 60% dan berhenti menyiram pada kelembaban tanah > 80% dan relay yang berfungsi sebagai saklar dapat berfungsi dengan baik. Selanjutnya Proses kalibrasi pada sensor soil moisture FC-28 menggunakan standar acuan ASM (American Standard Method) dari 59 percobaan menunjukan kesalahan alat sebesar 7,06% dan proses kalibrasi pada sensor DHT22 menggunakan alat standar yaitu thermohgrometer, adapun hasil ujicoba dari 100 percobaan menunjukan kesalahan kelembaban udara sebesar 0,82% dan untuk suhu udara 0,33%, sehingga didapatkan hasil pengukuran yang relatif baik. Berdasarkan hasil pengujian kerja sistem terhadap tanaman, didapatkan bahwa hasil sistem otomatisasi lebih cepat dalam pertumbuhan dibanding sistem manual  

scholarly journals Internet of Things in Agriculture to Revolutionize Traditional Agricultural Industry

2021 ◽  
Vol 37 ◽  
pp. 01018
Author(s):  
VB Kirubanand ◽  
V Rohini ◽  
V. Laxmankumar
Keyword(s):  
Soil Moisture ◽  
Internet Of Things ◽  
Soil Type ◽  
Climatic Condition ◽  
Advanced Technology ◽  
Soil Factors ◽  
Traditional Farming ◽  
Agricultural Industry ◽  
Practice Of Science ◽  
Modern Farming

Agriculture is familiarly called “Farming”. Agriculture is the basic art to cultivate food which is a necessary need to every living individual. Agriculture needs the practice of science for cultivating the soil factors and growing crops. In traditional farming, it includes more labor work and less yield quantity. This demerit can be overcome by the modern farming techniques which makes use of the advanced technology and focuses on maximizing the yield and maintaining the quality. Earlier the farmers used to figure out the type of the soil based on their suspicion and they would never think of the humidity, temperature, climatic condition and especially the level of water. IoT is trying to overcome all these factors by helping to assemble the information. This paper focuses on the soil moisture and soil type which lets the farmer know about the type of crops to be grown.

scholarly journals The IoT-BASED TEMPERATURE AND HUMIDITY MONITORING SYSTEM IN THE PROCESS OF MAKING ORGANIC FERTILIZER

SAINTEKBU ◽  
2021 ◽  
Vol 13 (02) ◽  
pp. 1-12
Author(s):  
Muhammad Saiful Amin ◽  
Ambar Susanti ◽  
Primaadi Airlangga
Keyword(s):  
Soil Moisture ◽  
Internet Of Things ◽  
Temperature Measurement ◽  
Organic Fertilizer ◽  
Measurement Data ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Temperature And Humidity ◽  
Humidity Monitoring ◽  
Monitoring Temperature

The Process Of Making Organic Fertilizer requires a certain temperature and humidity to keep the microorganisms used to be able to stay alive and can decompose perfectly, for that it is necessary to monitor temperature and humidity. Along with the development of this technology, it can be done by remote automation using a microcontroller on the ESP8266 nodemcu based on IoT (Internet Of Things), which is combined with the DS18B20 sensor for temperature measurement and soil moisture sensor, as a humidity meter with a temperature unit of °C. The humidity meter is an analog signal, the larger the value, the more humid of organic fertilizer. Acquired measurement data is sent to the Smartphone using an internet-connected ESP8266 monitoring temperature and humidity, which can be viewed via the Blynk App.

A Novel Approach For Massive Yield In Agriculture Using Iot

Think India ◽  
2019 ◽  
Vol 22 (2) ◽  
pp. 95-98
Author(s):  
S. Sethuramalingam ◽  
S. Arumuga Peruaml ◽  
A. Venkat Subramanian
Keyword(s):  
Climate Change ◽  
Soil Moisture ◽  
Environmental Factors ◽  
Internet Of Things ◽  
Soil Nitrogen ◽  
Environment Pollution ◽  
Soil Nutrition ◽  
Novel Approach ◽  
Cloud Database ◽  
Smart Agriculture

Agriculture is the main source that meets the food demand of living beings. The growth of a nation is predicted from the outcome of its Agricultural contribution. Population explosion, Climate change and poor environmental factors decreases the agriculture yield gradually. Smart Agriculture is the only solution to these challenges as it is focused on the modernization of existing agricultural methods. This can be implemented by adopting Internet of Things (IoT) in agriculture. Smart Agriculture focuses on data collection from various sensors such as Temperature, Humidity, Soil Moisture, Soil pH, and Soil Nitrogen. The main objective of this paper is to monitor the aforementioned factors that directly influence the growth of crops. The collected data from the farm lands are stored in a cloud database for analytics and predictive actions. Smart Agriculture provides a mechanism for efficient observation, measurement and response to changes in environment. It provides better water irrigation, appropriate fertilizers management and efficient soil nutrition and directly influence the productivity. It is also used to enhance quality and profitability in agriculture by using minimum resources with less environment pollution.

Design of Monitoring Device for the Process of Organic Waste Decomposition into Compost Fertilizer and Plant Growth through Smartphones based on Internet of Things Smart Farming

2021 ◽  
Vol 5 (2) ◽  
pp. 52-60
Author(s):  
Haris Isyanto ◽  
Jumail Jumail ◽  
Rahayu Rahayu ◽  
Nofian Firmansyah
Keyword(s):  
Soil Moisture ◽  
Internet Of Things ◽  
Plant Growth ◽  
Soil Ph ◽  
Organic Waste ◽  
Humidity Sensor ◽  
Living Environment ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Color Sensor

Based on data published by the Ministry of Living Environment and Forestry in 2020, Indonesia produces at least 93,200 tons of waste per day in various types of composition or around 34 million tons of waste per year. From the collection of waste, it could be used as compost fertilizer which is taken from leaf waste. From these problems, a device was designed that could monitor the decomposition process of organic waste into compost fertilizer. This device is equipped with a temperature sensor, humidity sensor, sensor of soil pH, soil moisture sensor, and color sensor to monitor the composting fertilizer process. The device could also detect plant growth as an indication that the compost fertilizer made is in good condition. Our device was used on the Internet of Things (IoT) and the blynk application as a monitoring application. From the test results, the temperature sensor's accuracy is 98.2%, the humidity sensor is 96.1%, the soil pH sensor is 95.26%, the soil moisture sensor is 98.55%, and the color sensor successfully detects the results of plant growth well. The design of this device is expected to invite the public to be wiser in sorting waste and using it for the surrounding environment.

Detection and Regulation of Soil Moisture and Nutrients Using Cloud Computing and Internet of Things in Agriculture

2019 ◽  
Vol 16 (8) ◽  
pp. 3183-3186
Author(s):  
A. Aiswarya ◽  
Reshmi Anantapalli ◽  
Ria Singh ◽  
S. Nandhini
Keyword(s):  
Cloud Computing ◽  
Soil Moisture ◽  
Internet Of Things ◽  
Electrochemical Sensors ◽  
Query Language ◽  
Liquid Crystal Display ◽  
Supply System ◽  
Soil Monitoring ◽  
Irrigation Systems ◽  
Major Drawback

Deficiency in fresh water resources globally has been a serious problem in the last decade. For overcoming this major drawback in the irrigation systems, smart soil monitoring system is implemented. The paper focuses on detection of moisture and nutrient levels present within the soil using moisture sensors and electrochemical sensors. These sensors are connected to Arduino board which controls the automatic water supply system which operates automatically based on the signal received from the Arduino board. Data received from Arduino board is displayed on a Liquid Crystal Display screen. The data collected will be stored in a cloud via an Internet of Things gateway. The system will also suggest the kinds of crops, from the list of crops stored in an Structured Query Language database, that will be best suitable for that soil based on the levels of soil moisture and nutrients detected.

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