Anna Rakshak: Early Detection of Grain Spoilage in Stores
Anna Rakshak: Early Detection of Grain Spoilage in Stores
Team: kanushk115
Project Details
Project Description: More than eighty percent Indian agriculture stores are suffering from low maintenance problem, due to which many agricultural products destroyed. To control the infestations different strategies are applied, but the main issue is proper monitoring of spoilage of product in stores. Currently in India for monitoring the stores manual methods are used: (a) Checking presence of spoilage molds (b) Evaluating CO2 levels (c) Sampling (d) Checking odours. These processes are very time consuming, so to mitigate all these shortcomings a novel technique is proposed in this research work.
Working on NodeMCU, running with renewable power source, equipped with powerful sensors; the Anna Rakshak aims saving a 14 billion dollars' worth disaster.
1. The device first takes its input from its three sensors MQ9, MQ135 and DHT11 here MQ9 sensor detects the presence of carbon monoxide, MQ135 detects the presence of nitrous oxide, carbon dioxide and DHT11 detects the presence of temperature and humidity.
2. These three sensors are connected to a relay module since the main processing unit NODEMCU has only one input pin the relay module works by switching between the two sensors namely MQ9 and MQ135, at the same time DHT11 sensor works constantly as it is connected to NODEMCU via a digital pin.
3. Then the processing unit NODEMCU processes this data and displays it on two platforms firstly thing speak which is a cloud service provided by MathWorks this data is then furthermore portrayed via the help of graphs and gauges on the farmers device. Secondly, NODEMCU is connected to Arduino (a micro-controller) which is connected to a TFT display, displaying all the essential details on the device (specifically carbon dioxide levels, carbon monoxide levels, nitrous oxide levels and heat index)
