Extension Activities

Smart village Project
One faculty co-ordinator and two student representatives from the department has visited the Protovillage, Anantpur District in Andhra Pradesh. The main objective of the visit was to observe Protovillage, especially any electronics related implementations and try to possibly draw connections to our main agenda of automatic irrigation. The proposal and the timeline for implementation of the prototype are given below.

The Department of ECE has finalized the automatic irrigation project in the first phase of Smart Village project. 
This project aims to automatically water the harvest based on humidity/temperature sensor and control the amount of water through a moisture sensor. 
This project requires a survey of people for understanding the nature of the crops being grown at the site and also whether the farmers are using any form of intelligent or smart irrigation.

1.Identification of the humidity/temperature and moisture sensor – 1 week
2.Design of the proposed project with specification of the components being used – 1 week
3.Purchasing of components (Arduino boards, sensors, wires etc) required for prototyping – 1 week
4.Development of the code for automated irrigation by identifying the threshold wrt humidity/temperature/moisture for different crops. (In first phase, only 2 crops will be considered.) – 6 weeks
5.Testing of the prototype  - Under lab conditions - ~2weeks
6.Testing of the prototype in field conditions - ~2weeks
Total time required for prototyping - ~13 weeks
The following components is required  for the prototype. The field implementation depends on the size of the land to be chosen for automated irrigation.

•Arduino Board 
•Different Sensors             
•Wires  etc.                

In addition to the above components, one dedicated PC/Laptop has to be provided for coding and burning of the written code to Arduino board. 




Service Learning - Precision Agriculture

The Department of Electronics & Communication Engineering through many brainstorming sessions finalized the theme for service learning as Precision Agriculture. In continuation with this, the following two projects were implemented in the campus as part of service learning.

1.    Fabricate drone for anomaly detection in plants
2.    Smart Irrigation System

Fabricate drone for anomaly detection in plants: The major problem with the farmer is to identify the unhealthiness in the crops, especially when the field becomes dense and makes it difficult for the farmer to manually get inside the fields and check the healthiness. This problem creates a avenue for the drones to be used. These drones are fitted with a camera which is used to take pictures of the leaves of the crops as per the user instruction. These pictures are then taken to MATLAB for image processing including image enhancement and segmentation. The result of the image processing is diagnosis of diseases in plants by comparing the pictures taken from the drone with the pictures of healthy leaves in the database. This diagnosis helps the farmer to identify the disease and use proper nutrients/fertilizers to solve the problem. This project was successfully implemented for anomaly detection in corn plants for three diseases namely flea beetle, bacteria soft rot and corn leaf blight. Students were grouped into two categories with one team working on drone and its assembly and the other team working on the image processing algorithm. The classes were thoroughly enjoyed by the students since they were given an opportunity to showcase their creativity.



Smart Irrigation System: Scarcity of water for agriculture is a serious problem affecting the farmer. In addition to this wastage of water is one more concern. Manual irrigation will lead to unnecessary water wastage which will severe the scarcity of water problem.     This calls for a smart irrigation system which can identify the water requirement and irrigate as when needed as sensed by the sensors. The proposed system can also control the pressure of the water supply which is of utmost importance especially while watering the plants in a nursery. This system was successfully implemented in one of the nurseries inside the Kengeri campus. In this project, students were divided into hardware team and software team. Finally all the students worked for the assembly of both hardware and software.



Non-Invasive Glucometer

Healthcare team of ESAIL works on the health issues caused by the consumption of impure water. There are six major sources of water Pollution namely Domestic, Industrial, Agricultural, Radioactive wastes, Thermal pollution, and Oil pollution. Presence of heavy metals in water causes diabetes, respiratory disease, cancer, diarrheal disease, neurological disorder, cardiovascular disease etc. Water also plays an important role on fetal health. Considering all the above stated facts a device has been designed to detect blood glucose level non-invasively using spectrophotometric method and statistical data analysis techniques. This device measures random blood sugar (RBS) of human with an appreciable amount of clinical relevance and accuracy.  The trans-receiver module of this instrument consists of a Near Infra-Red light sensor as a transmitter. The receiver module captures the reflected light intensity after it passes through the skin and depicts the value of glucose level in terms of voltage. The calibration and scaling was done on 100 subjects of different age groups and patients with type-1 diabetes. Low cost and compact design make its ideal for regular random blood sugar measurement.