Friday July 19, 2019
Home India Artificial In...

Artificial Intelligence to Provide Weather Forecast, Soil Moisture Information to Farmers

Under the project, a pilot study will be undertaken in three districts-- Madhya Pradesh's Bhopal, Gujarat's Rajkot and Maharashtra's Nanded

0
//
hackers, AI
In this method, instructions are given to the companies staff members to perform transactions such as money transfers, as well as malicious activity on the company's network. Pixabay

The Union Agriculture Ministry on Wednesday signed a Statement of Intent (SoI) with IBM India to provide weather forecasts and soil moisture information to farmers.

Under the project, a pilot study will be undertaken in three districts– Madhya Pradesh’s Bhopal, Gujarat’s Rajkot and Maharashtra’s Nanded.

ALSO READ: Budget 2019-20: Domestic Market Waiting for Signals from New Government

IBM’s Watson Decision Platform will give solution in the field of agriculture through Artificial Intelligence (AI) and weather technology at village level/farm level to provide weather forecast and soil moisture information on pro bono basis to help farmers for taking decisions regarding water and crop management for better production and productivity. (IANS)

Next Story

Artificial Intelligence to Play a Critical Role in Diagnosing Breast Cancer Quickly

"We had about 80 per cent accuracy rate. We will continue to refine the algorithm by using more real-world images as inputs,” Oberai said

0
Cancer, Patients, Invasive
The treatments kill healthy cells as well as cancerous ones, and the side effects are legendary. Pixabay

Breast ultrasound elastography is an emerging imaging technique that provides information about a potential breast lesion and researchers have identified the critical role AI can play in making this technique more efficient and accurate.

Using more precise information about the characteristics of a cancerous versus non-cancerous breast lesion, this methodology using Artificial Intelligence (AI) has demonstrated more accuracy compared to traditional modes of imaging.

In the study published in the journal Computer Methods in Applied Mechanics and Engineering, Indian-origin researchers Dhruv Patel and Assad Oberai from the University of Southern California showed that it is possible to train a machine to interpret real-world images using synthetic data and streamline the steps to diagnosis.

In the case of breast ultrasound elastography, once an image of the affected area is taken, it is analysed to determine displacements inside the tissue. Using this data and the physical laws of mechanics, the spatial distribution of mechanical properties, like its stiffness, is determined.

In the study, researchers sought to determine if they could skip the most complicated steps of this workflow.

Cancer
Cancer Ribbon. Pixabay

For this, the researchers used about 12,000 synthetic images to train their Machine Learning algorithm. This process was similar to how photo identification software works, i.e learning through repeated inputs on how to recognize a particular person in an image, or how our brain learns to classify a cat versus a dog.

Through enough examples, the algorithm was able to glean different features inherent to a benign tumour versus a malignant tumour and make the correct determination.

Also Read- Over 16 Million Accounts of Indian Influencers on Instagram are Fake

The researchers achieved nearly 100 per cent classification accuracy on synthetic images. Once the algorithm was trained, they tested it on real-world images to determine how accurate it could be in providing a diagnosis, measuring these results against biopsy-confirmed diagnoses associated with these images.

“We had about 80 per cent accuracy rate. We will continue to refine the algorithm by using more real-world images as inputs,” Oberai said. (IANS)