IoT based Soil Quality Monitoring for An Efficient Irrigation

The yield of agriculture primarily depends on the soil moisture, soil fertility and the use of suitable fertilizers. The method of manually measuring the soil nutrients is inaccurate in the current scenario due to laps between soil samples collected at the field and measuring in the laboratory. IoT has made changes in so many fields to monitor the data remotely despite of existing wireless technologies like Zigbee, GSM, etc. In this work an effort is made to collect the data related to various soil nutrients from agriculture filed using multiple sensors. Once the data is monitored and collected at the control center helps to apply a machine algorithms to take the appropriate decision for an efficient crop yield. In the proposed system, the sensors connected to the node at the field measures the macro nutrients of the soil, temperature and humidity of the soil. The nutrition majorly required for the growth of the plant is nitrogen (N), potassium (K), and phosphorous (P) amount present in the soil. In this work a microcontroller with WiFi is used to interface various sensors and display the measured value in the LCD. This application will provide a user interface to monitor the fertilizers, irrigation and humidity control.

CONTAMINATION OF HEAVY METALS IN SOIL OF MANDIDEEP INDUSTRIAL AREA, MADHYA PRADESH, INDIA

A study has been conducted to assess the heavy metal contamination in soil of Dewas industrial area of Madhya Pradesh, India. Total twelve locations and one control location were selected in Dewas industrial area for soil quality monitoring w.r.t. heavy metals. The thirteen soil samples were monitored for heavy metals such as Chromium (Cr), Manganese (Mn), Nickel (Ni), Copper (Cu), Zinc (Zn), Iron (Fe), Cadmium (Cd), Lead (Pb) and Cobalt (Co) analysis during different four quarters from April 2018 to March 2019. The present study is an attempt to visualize the heavy metal contamination with w.r.t. Contamination Index (CI), Pollution Load Index (PLI) study in selected locations in Mandideep industrial area. Over all Pollution Load Index of soil was found greater than one which shows polluted soil w.r.t. heavy metals at all selected monitoring locations in Mandideep industrial area of Madhya Pradesh, India during this study. KEY WORDS: Industrial Area, Soil, Heavy Metals, Contamination Index (CI), Pollution Load Index (PLI)

SOIL QUALITY MONITORING PROTOTYPE WITH HUMIDITY AND TEMPERATURE PARAMETERS FOR PADDY PLANTS

<p class="abstrak">Paddy is one of the most important plants in Indonesia because most of the Indonesian main food is rice. Paddy productivity can be increased by utilizing technological development. This study aims to design and make a measurement tool for soil temperature and humidity in paddy fields in the Karawang regency. This measurement tool uses Arduino mega and several sensors, the DS18B20 sensor which functions as a ground temperature sensor. Grove moisture sensor that functions as a sensor to detect soil moisture. Information for the value of these parameters will be listed on the LCD that has been installed. Data was collected in the paddy fields of Telukjambe sub-district, Karawang Regency, data collection was carried out with a depth of 2 cm and a depth of 4 cm. At a depth of 4 cm, the temperature and humidity parameters are stable, while at a depth of 2 cm the temperature parameter is stable while the humidity is unstable, and the best humidity value is at a depth of 4 cm.</p>