Book of Extended summaries ISDA

International Conference on Reimagining Rainfed Agro-ecosystems: Challenges &
Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad
Soil Moisture and Weather Data Management Using IoT
T5-20P-1165
N. S. Raju, N. Ravi Kumar, R. Nagarjuna Kumar, K. S. Reddy and B. Sanjeev Reddy
Central Research for Dryland Agriculture, Hyderabad.
The application of IoT in agriculture could be a life-changer for humanity and the whole planet.
Currently, we witness how extreme weather, deteriorating soil, dry lands, and collapsing
ecosystems make food production more and more complicated and expensive. In India, where
60-70% economy depends on agriculture, there is a great need to modernize conventional
agricultural practices for better productivity. In this project, we have established IOT sensor
Network with ESP 8266 (Node MCU) Microcontroller board and other sensors LM 100 is a
Soil moisture sensor, DHT11 for Temperature, a humidity sensor, and a Raindrop sensor to
collect rainfall information. We have collected data from the IoT sensors are that then
transmitted back to a central point (or the cloud) for analysis, visualization, and trend analysis.
The complete system has been developed and deployed on a pilot scale, where the sensor node
data is wirelessly collected using web services into a remote server. The temperature, humidity,
soil moisture, and rainfall information is collected in 10 minutes intervals and transferred to
remote locations with Arduino Wi-Fi technology. The data stored in this system can be
accessed from anywhere through the internet. Farmers today use systems for precision
measurement of environmental conditions called weather stations. Automatic Weather
Station (AWS) is used for real-time information on weather at the farm level but it is not
affordable to the farming community. The alternative system for the measurement of weather
parameters through IoT-based weather monitoring through sensors is much cheaper compared
to the present cost of AWS.
Internet of Things (IOT):
It is the future technology of connecting the entire world at one place. All the objects, things
and sensors can be connected to share the data obtained in various locations and
process/analyses that data for coordinating the applications like traffic signaling, mobile
health monitoring in medical applications and industrial safety ensuring methods, etc. As
per the estimation of technological experts, 50 billion objects will be connected in IOT by 2020.
IOT offers wide range of connectivity of devices with various protocols and various properties
of applications for obtaining the complete machine to machine interaction.
Internet of Things (IoT):
IoT device includes every object that can be controlled through the Internet. IoT in agriculture
uses robots, drones, remote sensors, and computer imaging combined with continuously
progressing machine learning and analytical tools for monitoring crops, surveying, and
743 | Page Emerging approaches (RS, AI, ML, Drones etc) for crop management &assessment