Emergence of environmental issues such as air pollution has greatly required the need for robust, cheap, operationally adaptable, and smart monitoring systems. The proposed work describes a study of how the household plants are helpful in purifying the environment. Air pollution monitoring system has been developed using Wireless Sensor Network (WSN). Sensor nodes and embedded system are used for monitoring air quality. The monitoring system consists of sensor nodes, base station and PC for data processing, storage, and presentation. Once data is collected at PC, it is then compiled and presented on web server.

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The present research deals with the fabrication of stannous oxide nanoparticles by conventional and cost effective co precipitation method. The thick film sensors of SnO2 nanoparticles were prepared by standard screen-printing technique by photolithography. The prepared SnO2 material was characterized by several techniques to confirm the structural properties. Initially, the prepared nanoparticles of SnO2 were investigated by x-ray diffraction technique to confirm the synthesis of prepared material within nanoscale. From XRD data the average particle size of prepared thick films was found to be 21.87 nm calculated using Debye-Scherer formula. The material was further characterized by using scanning electron microscopy (SEM) to investigate the structural and surface characteristic of SnO2. SEM data clearly indicates the heterogeneous surface, and some voids present over the surface of SnO2 nanoparticles. The Fourier transfer infra red technique was employed to investigate the metal oxygen frequency of SnO2 material. The prepared sensor was exclusively utilized to sense the hydrogen sulfide gas vapors at various concentrations. The prepared sensor was found to be highly sensitive to H2S vapors nearly 63.8% sensitivity was recorded. The response and recovery study shows the response time of 9 seconds and recovery time of 19 seconds for hydrogen sulfide gas vapors. The SnO2 sensor was further utilized for recycling performance to get the firm results of sensitivity in four turns with period of 15 days.

Pashan Lake in Pune, Maharashtra, India is one of the ancient man-made lakes constructed during British era majorly as a source of water supply for the neighboring colony. Over a while, the lake has switnessed severe degradation of water quality owing to heavy deforestation on neighboring hills, hyacinth formation, industrial effluents, and various anthropogenics activities. A consistent rise in pollution is reported, making the lake water non-potable. Recently, the monitoring and analysis of the lake's water quality status are under consideration to check the suitability of water for drinking. Further, this can aid in planning suitable measures to reduce pollution levels. To address such need of real-time water quality data aforementioned, this paper proposes an online portable water quality monitoring and notification system. An Internet of things(IoT) based platform has been developed with the ability to sense, record, process and wirelessly transmit water quality data.Such platforms enable remote access to data about quality status of any water resource. Further, the developed system has been deployed in Pashan Lake and the results so obtained have been discussed.