What's  AI?

        AI stands for Artificial intelligence. It can be simply defined as the desire to infuse human-like intelligence into a machine. The term AI was coined by John Mccarthy (USA)in 1950.

        AI concept is based on the idea of building machines capable of thinking, acting, and learning like humans. AI with  Visual perception, Speech recognition and Decisions making ability can be extensively used for solving human problems.

        AI is a broader term that includes Machine Learning, Natural  Language processes, and Neural Networks.

Examples of AI:

    Facebook  Friend suggestion list, Youtube Video recommendations, Virtual  Assistance like Siri, and Alexa  Shopping recommendations on e-commerce sites like  Myntra, Flipkart, Amazon, etc.

        This AI-based revolution has huge implications for India's  backbone  of economy  ie,  

A 1. Agriculture Automation: Driverless  tractors  will  reduce  the labor cost and improve  the efficiency


E 2. Equity of resources: India is a developing country so its resources such as land, water, and energy must be equally distributed. So AI will  help  for its equal  distribution

3. Real-time weather forecast: 

It will help farmers to suggest sowing as well as harvest time. Also, warn about Snowfall, cyclone, and rainfall.

4. Crop analysis:

Images of crops with the help of Satellite and drone technology will make a Crop health card. On the basis of this card, Farmers will get information regarding water levels requirement, Diseases, pest outbreaks, etc.


5. Soil  Defects: 

AI with the help of image analysis will be able to find Defects in soil and recommend measures to reduce nutrient deficit in soil.

6. Fruit picking:

Robots will help in harvesting the Crop and reduce labor costs.

7. AI helps in minimizing Human errors and maximize efficiency and productivity.

8. Supply chain data: 

On the basis of that loopholes in Supply can be minimized and helps in increasing farmer's income.

9. Consumer data: 

By studying consumer behavior farmers will get to know the future demands of crops so on the basis that farmers will plan their cropping patterns.

10. Seed data: 

AI will help monitor and check seed availability in the market and also protect the farmer from malpractice such as Hoarding and illegal stocking of seeds.

11. Precision  farming: 

AI techniques such as machines and computer-based vision can be used in agriculture to optimize irrigation, fertilization, and pest control, enabling farmers to apply resources precisely where they are needed, minimizing waste and maximizing yield.


12. Agri-Robotics: Development of autonomous agri  Robotics, performing tasks like seeding, weeding, and spraying pesticides.


Technologies always come with some advantages and disadvantages per sr pro and cons.

AI also comes with pros like,

Increase in efficiency: 

AI with robotics and machine will increase efficiency tremendously, Driverless tractors and excavator work effectively without getting tired.

Increase in productivity: 

AI with sensors, and drones can detect problems associated with soil, Images of crops can help to identify nutrient deficiencies, pests, and disease outbreaks. Real-time weather forecasts help to identify sudden changes in weather conditions according that farmers can take adequate steps to avoid the loss of crops. Also at the same time data from markets and consumers can help the farmer to schedule their crops and help to minimize losses that occurred due to the demand-supply chain. All these factors will drastically improve farmers' incomes and ultimately boost productivity.

Avoid  Human errors: 

AI with improved data and modern techniques can help to avoid human error.

AI with cons like

Loss of Job: 

Technology will cut the jobs of people randomly said since the first industrial revolution but on reality check, it has not proved right. Ai with machines are handled and managed also repaired by humans so people who lost their job can be employed by providing necessary education and required skill.

Increase in social Divided: 

Initially, Technology will be acquired by only wealthy people which will create a social divide but making it accessible to every strata of society will help reduce the social divide caused by technology.

And many more Govt. of India step to inculcate AI


The government has set a target of doubling farmers’ income by the year 2022. The Government has constituted an Inter-Ministerial Committee to examine issues relating to a doubling of farmers’ income and recommend a strategy to achieve a doubling of farmers’ income in real terms by the year 2022.


    The technologies include Artificial Intelligence, Big Data Analytics, Blockchain Technology, the Internet of Things, etc. Use of modern/advanced technologies and Artificial Intelligence (AI) and giving accurate and timely information regarding crops, weather and insects, etc. to the farmers may improve crop productivity, reduce the risk and improve the income of the farmers. 

Major technology interventions include:

Development of Kisan Suvidha mobile application to facilitate dissemination of information to farmers on the critical parameters viz., Weather; Market Prices; Plant Protection; input Dealers (Seed, Pesticide, Fertilizer) Farm Machinery; extreme weather alerts; Soil Health Card; Cold Storages & Godowns; Veterinary Centres and Diagnostic Labs. With market information, farmers are better informed about markets to sell produce, prevailing market prices, and quantity demanded in the market. Thus, they can make informed decisions to sell produce at the right price and right time.

    Development of ‘Farm Machinery Package for Different Agro-Climatic Zones in India’ mobile application, which gives information on farm machinery packages available state-wise, agro-climatic zone-wise, district-wise, cropping pattern wise and power source-wise.


Ÿ      Development of ‘My Ciphet’ mobile application to help farmers to get precise information regarding the Indian Council of Agriculture Research (ICAR) developed post-harvest technologies, products and machinery. ICAR has also compiled more than 100 mobile apps developed by ICAR, State Agricultural Universities and Krishi Vigyan Kendras and uploaded on its website. These mobile apps developed in the areas of crops, horticulture, veterinary, dairy, poultry, fisheries, natural resources management, and integrated subjects,  offer valuable information to the farmers, including the package of practices, market prices of various commodities, weather-related information, advisory services, etc.


Ÿ  Development of m-Kisan Portal (www.mkisan.gov.in) for sending advisories on various crop-related matters to the registered farmers through SMSs.


Ÿ  Launching of e-National Agriculture Market initiative to provide farmers an electronic online trading platform.


Ÿ  Introduction of Soil Health Card Scheme to assist State Governments in providing Soil Health Cards to all farmers across the country once in a cycle of 2 years. Soil health card provides information to the farmers on the nutrient status of their soil along with recommendations on appropriate dosage of nutrients to be applied for improving crop productivity and soil fertility.


Ÿ  Using machine learning process along with different computer algorithms for crop classification and area estimation. The Government has also set up 713 Krishi Vigyan Kendras and 684 Agricultural Technology Management Agencies at the district level for the dissemination of technologies among the farming community. In addition, farmers are provided information through Focused Publicity Campaigns, Kisan Call Centres, Agri-Clinics and Agri-Business Centres  of entrepreneurs, Agri Fairs and exhibitions, Kisan SMS Portal,   (pib.gov.in)

    The use of drones in agriculture is helpful to farmers as it has some distinct advantages such as high field capacity and efficiency, less turnaround time and other field operational delays, wastage reduction of pesticides and fertilizers due to high degree of atomization,   water saving due to ultra-low volume spraying technology in comparison to traditional spraying methods, reduction in the cost of spraying and fertilizer application in comparison to conventional methods, etc. besides reduction of human exposure to hazardous chemicals.


e-GOPALA provides details of bovine animals, enabling farmers and entrepreneurs to view details of live animals, frozen semen, and embryos.


PM -KISAN Scheme: govt. has used this technology to find out ineligible beneficiaries of the PM Kisan scheme.

Digitalization of Agriculture records: In FYI 23 -24 FM announced that all records and accounts of cooperative societies are digitalized so as to effectively implement the different schemes of farmers' welfare.

Agri accelerator fund: The government has constituted a fund for start-ups in Agriculture which ultimately  involves the use of modern  techniques  to solve  problems involved in agriculture

Kissan AI: AI Agriculture Assistant for Bharat. Your Personal AI Agriculture Assistant KissanAI is an advanced AI-powered agricultural assistant designed to help farmers.

Microsoft and ICRISAT: As part of its worldwide AI for Earth program, Microsoft has recently announced grants to provide artificial intelligence (AI) technology to organizations engaged in solving environmental challenges.

ICRISAT is one of the grantees and will now be able to use Microsoft Azure resources for weather predictions and pest migration information.

MNREGA geo-tagging: To find out false beneficiaries and increase transparency and accountability to avoid corrupt practices in this employment scheme govt. has launched mobile monitoring app MNREGA mnms app.

E-Pikpahani: Govt. of Maharashtra launched this app to survey the cropping land that got damaged and lost crops and physical loss by heavy rainfall, drought, and pest outbreak with a mobile-based app. Which reduces the overburden on Talathis and Mandal Adhikari. Also helps to avoid malpractices.

Mr. Abhijeet B Dhongade 

(BSc Agri | Studying Socio-Economic issues of the farming community)

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