In a bid to assist Indian farmers in maximising their crop yields – Microsoft has developed an AI app that works on technology-oriented solutions like Artificial Intelligence, Cloud machine learning algorithms, and advanced analytics.
AI BASED SOWING DATE
The project is a component of a great vision to bridge digital divides in agricultural process. Microsoft AI recognizes crop diseases, pest damages and – helps farmers to plough the field and sow the seeds at the right time thereby producing a better yield.
As the AI predicts the optimal date, the company sends automated voice calls that alert landowner on weather and pest attack risks.
The fields had been freshly ploughed and the furrows ran straight and deep. Yet, thousands of farmers across Andhra Pradesh (AP) and Karnataka waited to get a text message before sowing their seeds. The SMS delivered in their native languages (Telugu and Kannada) told them when to sow their groundnut crops.
The company said,
Sowing date as such is very critical to ensure that farmers harvest a good crop. And if it fails, it results in a loss as a lot of costs are incurred for seeds, as well as the fertilizer applications. Further, The app sends sowing advisories to participating farmers on the optimal date to sow. The best part – the farmers don’t need to install any sensors in their fields or incur any capital expenditure. All they need is a feature phone capable of receiving text messages.
Meanwhile, in a few dozen villages in Telangana, Maharashtra and Madhya Pradesh, farmers are receiving automated voice calls that tell them whether their cotton crops are at risk of a pest attack, based on weather conditions and crop stage.
AI TO REVOLUTIONIZE AGRICULTURE
Additionally, Microsoft has developed a multivariate agricultural commodity price forecasting model to predict future commodity arrival and the corresponding prices. The model uses remote sensing data from geostationary satellite images to predict crop yields through every stage of farming.
Whereas, the model currently being used to predict the prices of Tur – is scalable, time-efficient and can be generalized to many other regions and crops.
Anil Bhansali, CVP C&E and Managing Director, Microsoft India said,
Indian agriculture has been traditionally rain dependent and climate change has made farmers extremely vulnerable to crop loss. Insights from Microsoft AI through the agriculture life cycle will help reduce uncertainty and risk in agriculture operations. Use of AI in agriculture can potentially transform the lives of millions of farmers in India and world over.
Share the article with farmer friends to let them get an insight of the developing technologies that would help them immensely in the yields.