We are all aware of the rapid propagation and strides that technology provides in the field of commerce, finance, healthcare and other mainstream fields.

In this blog, we look at the progress and strides that technology has made in areas that also matter to us.


With food demand increasing at an alarming rate due to the growing population worldwide, there is going to be about an upwards of 60+% increase in food requirement by 2050.

This demand can be met only when there is a high level of efficiency that leads to higher yield and better quality while reducing the use of chemicals that are harmful.

Today farmers use technology so that they can monitor and process the information on a real-time basis to take appropriate action, they use sensors & cameras for the same.

The data that’s gathered based on weather patterns and crop sowed provide us information that can be used to plan the next similar crop accordingly so as to be profitable and yielding.

With the data that is collected at the plant level, AI can help process this data and take appropriate action which could include reduce/increase the watering or spray herbicides via controlled Artificial intelligence machines for a timely solution.


With the level of Industrialization and ever-increasing automobile traffic, the pollution levels have gone beyond the permissible levels.

Air Quality monitoring is an essential bane today as it helps us in understanding the quality and helps us devise solutions to address the issue to an extent.

Air quality has so many hazardous components that measuring these needs special sensors and equipment so as to provide real-time data.

The data that is gathered helps environmental engineers in understanding the cause & severity while helping them address to reduce this by modelling the right solution.

The environment is one of the world’s most widely debated and immediate problems which gets a lot of attention, but the solution seems to be very far away, with the aid of technology strides can be made in this area.

Carbon capture and storage is one way of smartly reducing the presence of CO2 in the atmosphere while energy labelling helps one choose the right electrical product for a home so as to contribute less to the pollution.

Weather forecasting:

The number of Natural disasters has been on a rise each passing year, this has resulted in the loss of human lives and large-scale material damages.

We have been recording weather and calamity data for many years and continue to do so, Machine learning helps in modelling and predicting weather behaviour well in advance so as to help evacuate people and also reduce the material damage that happens during a calamity.

Climate scientists even today rely heavily on data that is collected to model and simulate weather conditions so as to predict weather patterns around the globe.

The data that is collected by doppler radars, weather satellites, buoys and other sensors and measuring instruments are fed so as to mathematically model and predict the patterns beforehand. Every time a satellite is launched by a country, there is almost always a chance of a weather-related module also tagging along so as to better our forecasting.

The breakthrough in technology continues to strive to make human life better and the planet a sustainable one.