Researchers from ICAR-Indian Institute of Wheat & Barley Research, Karnal, and ICAR-Indian Agricultural Statistics Research Institute, New Delhi, have proposed a faster and reliable approach to identify different varieties of wheat. Using a mix of software engineering, mobile application development and genetic analysis, they have developed a new web-based server called VISTa—the first-ever plant variety identification system in the world—to identify wheat varieties.

In a recent study, researchers from the Indian Institute of Technology (ISM) Dhanbad have developed a blood glucose sensor to monitor blood sugar using light. It can measure a wide range of values of blood glucose, between 10 to 200 mg/dl, say the researchers. The average blood sugar level in healthy adults when fasting is between 70 to 120 mg/dl.

This article is a tribute to Phillip Anderson, who passed away on March 29, 2020.  Besides his pioneering works in condensed-matter physics, he also wrote extensively on the theme of reductionism and multiscale physics.

Modern science reveals that matter is made of atoms and molecules. Molecules in liquids and gases move randomly; there is an average distance between two nearest molecules. This distance is used to model the properties of the gas. However, there are certain problems, like  turbulence, that cannot be solved using just the distance, which is a single scale. We need to consider all scales from large to small. Such systems are called multiscale systems. 

Among all the calamities caused by climate change, an increase in the salinity of the soil is one. It is projected that, by 2050, about half of today’s arable land across the world will be affected by salinity. This increase would also hit India’s rice bowl, the Indo-Gangetic plains, which is projected to lose about 45% of the crop yield. When salinity increases, plants respond by absorbing less water, which affects their growth. How then do we help agriculturally vital crops cope with high salinity?

Research Matters is happy to bring you this article as part of the series on Mathematical Modeling and Data Analysis by the Mathematical Modeling team of Indian Scientists' Response to Covid-19 (ISRC). The first part of this series is on Explaining Models of Epidemic Spreading.

Why do we need Mathematical Models for CoVID-19?

To understand an extensive, complex physical system, thinkers break it up into smaller components and try to understand the properties of the most minor microscopic components. This method helps us understand many complicated things around us, and has helped us solve a lot of real-world problems. But it does not help us understand certain phenomena, such as turbulence in fluids. A different way of thinking, a method that considers the physical system as a whole is needed in such cases. This method is called the multiscale analysis.

Humans communicate a lot non-verbally, thanks to the ability of our brain to understand tone. Would computers be able to do this? Currently capable of understanding plain text, they are struggling to learn the emotions behind the words, conveyed through tone. But these machines are catching up fast. Digital audio processing tools equip computers to understand various information in sound, including emotions.Prof Preeti Rao of the Indian Institute of Technology Bombay is an expert in sound processing—an approach that helps us do various useful things, one of which is removing unwanted sounds (or noise) from an audio clip. With her team at the Digital Audio Processing Lab, Prof Rao attempts to understand the nature of sound, reveal the information it may hold, and use it for, say, identifying tracks, melodies or the raga of a song.

Carbaryl is one of the commonly used pesticides for agricultural as well as non-agricultural use. But like any other insecticide, higher concentrations of Carbaryl in the soil can have adverse effects on humans and other organisms. The need to completely remove it from the environment or break it down into less harmful substances is of primary importance. Researchers from the Indian Institute of Technology Bombay (IIT Bombay), and Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, have achieved a significant breakthrough in identifying bacteria which can clean up this pesticide from the environment and understanding exactly how the breakdown occurs.

As COVID-19 pandemic marches on in India with over 800 positive cases and 19 deaths at the time of this article, there is an urgent need for deploying out-of-the-box innovations that can help curb this menace.