AgriSmart
AgriSmart relies on IoT technology and real-time data to empower farmers with the knowledge to remove information asymmetries, thereby making farmers better informed producers, and opening wider markets for them.
Agrismart relies on IoT technology, AI/Machine Learning, and mobile application software. This comprises of specialized equipment, wireless-connectivity, software and IT services.
IoT technology is being implemented all across India, but there's been little application in terms of educating farmers to make better economic decisions. In a 2020 study (https://nasscom.in/knowledge-center/publications/iot-adoption-indian-agriculture-2020-landscape), NASSCOM found that almost 90% of existing IoT solutions focus on pre-harvest operations and not on post-harvest operations, including the transport, sale, and supply chain logistics of agricultural produce.
Agrismart aims to leverage existing smart farming infrastructure, and enhance it through a three-pronged approach that enables real-time harvest and financial insights to drive data-driven decision-making in India’s agricultural sector. This includes:
-AI chatbots (virtual agents) that assist farmers with advice and recommendations on not only crop conditions, but also the best time to sell their products and at what cost.
-Digital collaboration platforms for agricultural buyers and sellers to connect with each other, and a central knowledge database to exchange the latest farming techniques and best practices.
-Digital access to financial instruments including microloans and crop insurance, that give farmers the financial-tools they need to increase productivity.
In August 2020, volatile protests emerged across India in response to the recently implemented Farm Bill. The farmers’ cause for concern was understandable - they believed that the new laws would lead to the deterioration and end of the mandi system - a centralized and regulated market in which farmers sell their crops. This would make them vulnerable to exploitation by large retailers.
From an economic point of view, the farmers were concerned about information asymmetry - when one party has more information than the other in a transaction - which can result in business imbalances and even exploitation. Even in the current situation, many farmers depend upon local traders and middlemen to sell their produce, often at throw-away prices. Generally speaking, farmers lack comprehensive knowledge of the market demand and going price for commodities in their region. This information asymmetry puts them in a financially precarious position, and many spiral into inescapable cycles of debt.
Information is power, especially in the increasingly digitized world we are moving towards. Currently, India’s farmers rely too heavily on their instinct and experience, rather than real-time data insights. AgriSmart strives to correct this imbalance caused by information asymmetry by arming farmers with up-to-date information, not only when it comes to monitoring their crops, but also about the market, best price for their commodities, and knowledge about insurance and loan schemes for which they are eligible, enabling them to be more resilient in the face of unexpected circumstances, weather patterns, and natural disasters.
The primary beneficiaries of AgriSmart are India’s farmers, which, according to various census data, number somewhere from 37 million to 118 million. (https://thewire.in/agriculture/indian-agricultures-enduring-question-just-how-many-farmers-does-the-country-have). These farmers stand to benefit in terms of crop yield, land productivity, more equitable compensation for their produce, and greater access to financial tools as they unlock the value of their land.
India’s agricultural sector is plagued by reports of farmer suicides, linked to poverty and inescapable debt cycles that trap farmers. To not only escape these debt cycles, but also help farmers ride out unforeseen circumstances and mitigate risk, they need access to financial tools such as crop insurance and government-subsidized loans with reasonable interest rates and conditions. While these tools exist, many farmers are unaware of how to access them. AgriSmart would provide farmers information about the different financing tools and insurance options for which they are eligible, based on landholdings and value. In a future iteration of the product, it could also pre-fill application information for farmers, to expedite the process.
If farmers are empowered with access to financial instruments, they are also able to ensure greater crop yields and productivity. This, in turn, has implications for the larger population. According to recent figures, agriculture contributes to 20% of India’s GDP (https://www.downtoearth.org.in/news/agriculture/agri-share-in-gdp-hit-20-after-17-years-economic-survey-75271). With rising concerns about climate change and water scarcity, ensuring food security through a robust, self-reliant agricultural sector becomes a top priority for India as a nation.
Approximately 60 percent of the Indian population works in agriculture; however, agriculture's contribution to the India GDP is only about 18%. No one in India is unaware of the farmers' problems and hardships or of the ever-increasing Farmer suicide rates
I was made to understand these problems better while taking part in an internship with a tech company called M2M cybernetics which is based in Gurgaon in India. With them, I contributed to an IoT based smart agriculture project they had been working on. I took part in surveys with farmers living in nearby areas and met with them and understood their problems.
I also observed the real life pilot testing of the smart agriculture machine with the m2m team in real farmers' fields. After seeing this in application and meeting with them and observing their conditions and how they live, as well as doing individual research on the internet to know more about what these farmers go through, I identified a problem and developed a solution for it.
I also recognised that this could be implemented in unison with the smart agriculture project that m2m was working on as an additional finance stack so I reached out to them again. We're currently working on implementing this stack into the machine so that the farmers have all the tools they may require throughout the whole agricultural cycle-from monitoring their crops to monitoring crop prices -all in one place.
- Improving financial and economic opportunities for all (Economic Prosperity)
- Concept: An idea being explored for its feasibility to build a product, service, or business model based on that idea
AgriSmart is currently being developed as an add-on stack to an already existing machine I previously worked on with M2M.
- A new use of an existing technology (e.g. application to a new problem or in a new location)
Core technology powering AgriSmart
-IoT hardware and sensors for temperature, moisture, soil, wind, etc.
-Machine learning to make recommendations for crop sales based on historical data on crop prices, financial tools, and other resources.
-Coding languages like Java, C++, and Python for the actual implementation of AgriSmart as an easily accessible program/software/
- GIS and Geospatial Technology
- Imaging and Sensor Technology
- Internet of Things
- Software and Mobile Applications
- India
AgriSmart is meant for farmers who rely on traditional methods of farming due to their lack of information about modern practices. This is a broad demographic that encompasses a large amount of people in India. India is an agricultural country, and almost 80% of people living in rural India rely on some form of agricultural or related activity for their livelihood.
All of these people are vulnerable to being exploited by middle men and large retailers who buy their crops. They are also unaware of the financial instruments they can make use of to maximise their own earnings and increase productivity on their land. That's why they are also the ones who would benefit from the solution the most.
We plan to implement our machine in rural areas all across India, thus, potentially helping millions of farmers across India. As of right the AgriSmart financial stack add on is still in early development stages; however, by the end of the year, we plan to reach more than 500 farmers living in villages around the Delhi National Capital Region in India.
Impact goals:
1. To remove information asymmetry among farmers by making it easy for them to access databases of up-to-date knowledge about current commodity indexes, changing crop prices, etc.
2. To reach at least 500 farmers across villages near Delhi NCR.
3. To pursue tie-ups with other smart IoT device manufacturers to potentially have AgriSmart implemented as a standalone product that can reach more people for a cheaper price.
4. To eventually get to the stage of development where we can apply for a government grant to potentially develop the machine on their behalf for farmers across India.
5. Reduce poverty among farmers by helping them utilise their assets to make the most possible money
How we're planning to measure our progress towards our impact goals:
-Through feedback from farmers who are using the technology
-By measuring the number of users in the agricultural sector that AgriSmart has reached and across how many villages.
-By tracking development of AgriSmart's tech stack towards our long term goals
IoT in India is at the early stages of development. In order to reach its potential, there will need to be an aggressive push from the government and private players to encourage individuals to adopt and use the technology.
Additionally, farmers in India are not accustomed to making use of latest technology in their practices, therefore, there will be a steep learning curve for them to be able to utilise the product to its fullest potential
The creation of this product also requires technical expertise and a lot of hours to be invested into it. This process would require a team of experts and moderate investment.
The m2m team brings expertise when it comes to the development and implementation of IoT products in the Indian market. They have already conducted extensive user trials with farmers in India's agricultural sector. They also have a lot of experience in the development of similar products and are well versed in the process of successful product development. They also know about financing such products and securing government partnerships to bring products to markets.
I am partnering with a private tech company called m2m cybernetics which develops tech based telecommunication and network solutions. For the past six years they have been developing IoT solutions for India's agricultural and other allied sectors.
Following an internship with them, I approached them for further collaboration because I knew that they would be able to guide me in developing AgriSmart and implementing it within existing IoT infrastructure.
I started working with a team of employees within m2m on AgriSmart in August 2021. We have slowly been making progress towards finishing the development of AgriSmart and bringing the product to the market.
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