Minister Inder Singh Parmar said that the subject of'Artificial Intelligence' has been started in a total of 53 schools in the state run by the Madhya Pradesh State Open School Education Board. It has been started for the students of class 8th and 9that present. Internet-enabled laboratories of 40 modern computers have also been set up in these schools by the State Open School Education Board. In order to provide quality education in Madhya Pradesh, the Education Department is emphasizing on the inclusion and application of modern technical subjects. Minister Inder Singh Parmar said that Madhya Pradesh is the first state where education is being imparted through a total of 240 hours of'Artificial Intelligence' classes in classes VIII and IX in EFA (Education for All) schools.

The past decade has witnessed a rapid increase in technology ownership across rural areas of India, signifying the potential for ICT initiatives to empower rural households. In our work, we focus on the web infrastructure of one such ICT - Digital Green that started in 2008. Following a participatory approach for content production, Digital Green disseminates instructional agricultural videos to smallholder farmers via human mediators to improve the adoption of farming practices. Their web-based data tracker, CoCo, captures data related to these processes, storing the attendance and adoption logs of over 2.3 million farmers across three continents and twelve countries. Using this data, we model the components of the Digital Green ecosystem involving the past attendance-adoption behaviours of farmers, the content of the videos screened to them and their demographic features across five states in India. We use statistical tests to identify different factors which distinguish farmers with higher adoption rates to understand why they adopt more than others. Our research finds that farmers with higher adoption rates adopt videos of shorter duration and belong to smaller villages. The co-attendance and co-adoption networks of farmers indicate that they greatly benefit from past adopters of a video from their village and group when it comes to adopting practices from the same video. Following our analysis, we model the adoption of practices from a video as a prediction problem to identify and assist farmers who might face challenges in adoption in each of the five states. We experiment with different model architectures and achieve macro-f1 scores ranging from 79% to 89% using a Random Forest classifier. Finally, we measure the importance of different features using SHAP values and provide implications for improving the adoption rates of nearly a million farmers across five states in India.

The government of Karnataka has decided to partner US tech giant Microsoft to use artificial intelligence (AI) for digital agriculture. The collaboration intends to empower smallholder farmers with technology-oriented solutions that will help them increase income using ground-breaking, cloud-based technologies, machine learning and advanced analytics. The collaboration will experiment with the Karnataka Agricultural Price Commission (KAPC), department of agriculture to help improve price forecasting practices to benefit farmers. Microsoft, with guidance from KAPC, is attempting to develop a multi-variant agricultural commodity price forecasting model considering the following datasets--historical sowing area, production, yield, weather datasets and other related datasets as relevant. For this season, Tur crop has been identified for this prediction model.