From the perspective of any nation, rural areas generally present a comparable set of problems, such as a lack of proper health care, education, living conditions, wages, and market opportunities. Some nations have created and developed the concept of smart villages during the previous few decades, which effectively addresses these issues. The landscape of traditional agriculture has been radically altered by digital agriculture, which has also had a positive economic impact on farmers and those who live in rural regions by ensuring an increase in agricultural production. We explored current issues in rural areas, and the consequences of smart village applications, and then illustrate our concept of smart village from recent examples of how emerging digital agriculture trends contribute to improving agricultural production in this chapter.

Agriculture has been facing major challenges like lack of irrigation, change in temperature, groundwater density, food wastage, cold storage, and much more. The technology will be useful in helping farmers in high yielding and having a better seasonal crop at regular interval. In this digital transformation age, technology companies across the world have been developing the best solutions based on agriculture technology (AgTech) to enhance production. Digital transformation and technology adoption have brought many radical changes in many sectors including agriculture. It is speculated that the implementation of Artificial Intelligence (AI) in agriculture will transform the sector.

It is one of the marvels of human innovation but artificial intelligence (AI) offers tough competition for us. The days of speculating rain and sunshine may soon fade with artificial intelligence's capability to predict right conditions with precision to an extent. It comprises one of the basic aspects of precision agriculture (PA) promoted even by the government to boost productivity and in turn, farmers' income. AI-based sowing advisories lead to 30 per cent higher yields as Microsoft, in collaboration with ICRISAT, developed an AI Sowing App powered by Microsoft Cortana Intelligence Suite including Machine Learning and Power BI. The app sends sowing advisories to participating farmers on the optimal date to sow without them installing any sensors in their fields or any additional cost; all they need is a phone capable of receiving text messages.

It is one of the marvels of human innovation but artificial intelligence (AI) offers tough competition to us. The days of speculating rain and sunshine may soon fade with artificial intelligence's capability to predict right conditions with precision to an extent. It comprises one of the basic aspects of precision agriculture (PA) promoted even by the government to boost productivity and in turn, farmers' income. AI-based sowing advisories lead to 30% higher yields as Microsoft, in collaboration with ICRISAT, developed an AI Sowing App powered by Microsoft Cortana Intelligence Suite including Machine Learning and Power BI. The app sends sowing advisories to participating farmers on the optimal date to sow without them installing any sensors in their fields or any additional cost; all they need is a phone capable of receiving text messages.

Speaking at the 13th edition of CII Agro Tech India-2018 in Chandigarh, President Kovind said, "Reinforcing what the Narendra Modi-led government has been propagating in their tenure, a "strong bond" was crucial between agriculture and technology." In previous decades, manufacturing and mechanization have been of appreciable utility to agriculture. Today a strong relationship is emerging between agriculture and the services sector." BIOTECHNOLOGY, NANOTECHNOLOGY, DATA SCIENCE, REMOTE-SENSING IMAGING, AUTONOMOUS AERIAL AND GROUND VEHICLES, AND ARTIFICIAL INTELLIGENCE HOLD THE KEY TO GENERATING MORE VALUE FOR AGRICULTURE. The National Institution for Transforming India (NITI Aayog) had unveiled a discussion paper earlier this year which addressed the national strategy on artificial intelligence and other emerging technologies in India.

Agriculture is seeing accelerated adoption of Artificial Intelligence (AI) and Machine Learning (ML) the two with regard to agricultural products and in-field farming tactics. Cognitive computing, particularly, is set to turn into the most disruptive technology in agriculture services as it can certainly understand, learn, and answer various conditions (predicated on studying) to improve efficiency. Technology may likewise be used to recognize optimal sowing period, historical weather information, real time Moisture Adequacy info (MAI) from everyday rainfall and soil contamination to make predictability and supply inputs to farmers at ideal sowing time. To determine likely pest attacks, Microsoft in cooperation with United Phosphorus Limited is currently building a Pest danger Prediction API that ignites AI and machine understanding how to signify in progress, and the risk of pest attack. Predicated around harvest growth period and the weather illness, pest attacks are called to Moderate, High or lower.

For the many potential application areas where artificial intelligence can deliver breakthrough transformation, unlock efficiencies and augment human life, one of the most impactful areas – at least in the Indian context – will be the value it can bring to the field of agriculture. According to Indian Brand Equity Foundation, nearly 58% of India's population relies on agriculture as their primary source of livelihood. The total export of agricultural commodities for India is expected to hit $38.1 billion in FY18, making the country one of the top 15 exporters globally. However, agriculture in India is riddled with systemic problems, which AI is well placed to address. First, the traditionally unorganised agriculture sector continues to be difficult to organise due to our vast geography combined with our cultural and linguistic diversity.

Modern agriculture has come a long way over the last two decades. With many technological advancements, the practices in farming have evolved from traditional methods to digital tools. Now, advancements in machine learning and artificial intelligence is being used in this field to ensure growing demands are met by optimising resources. The Indian government think tank NITI Aayog had recently unveiled a discussion paper which addressed the national strategy on AI and other emerging technologies to be focussed on five core sectors. Agriculture was one of the key sectors mentioned in the draft, because the use of new tech would enhance farmers' income, increase farm productivity and reduce wastage.