How Modern Entrepreneurs is debting in agricluture

Today, many tourists are dealt with using technology effectively to find solutions to challenge or make life easier, so that agriculture can be one of the areas where technology can be applied to make farmers better lives.

However, Indian farming is very unique. Lan when explaining technology in the agricultural sector, at that time to throw away the power to overcome the huge animals in the room-Finance!

While reports on the agricultural sector are more focused on increasing productivity by using modern technology, adding input grains, better type of equipment, access to irrigation or weather information and better access to the market.

All this comes! And if anyone has a small land having access to the capital, the report will continue to look good on paper.

Additionally, if some reports focus on finance-more often than easily in transactions and easily increase mobile banking.

But to solve the debt crisis of the agricultural sector by using technology, it must exceed the banking service and bring farmers who do not pay pay to the umbrella bank, to help financial institutions to make informed decisions and prevent monitoring and collaboration with those who have land for more productivity well.

Land Dynamics

In the past 50 years, the size of Indian farmers has drastically reduced.Approximately 67% of farmers are less than 1 hectare.

Revenue has shrunk, and credits have been found. Based on India Spend, data-backed data-driven data portals, nearly 70% of the 90 million Indian households are more than average each month each month, leading to debt, which is now a major reason for more than half of all national farmers.

This is despite the fact of singing, time and again the government to write a letter. Last year Uttar Pradesh and Maharashtra obtained loans via a loan amounting to Rs 60,000, and India faced a cumulative debt of Rs 3.1 lakh crore (2.6% of GDP) by 2016-17.

Better this year on the annual budget, the government once again adopts measures to support the agricultural sector.

More than just raising the support price for all revenue, the government put forward credit for the agricultural sector of up to 11 trillion rupees ($ 172.3 billion) for the forthcoming fiscal year.

A twin problem is holding a farmer’s credit

If one agricultural can be a significant portfolio for the borrowers, the occurrence can be high risk.-It’s an angel to help small landowners who are often needed as a guarantee for traditional farming loans.

-Is the angel to access farming activities in distant lands, making time-consuming and valueless.Technology for Soil Farmers Holding Verification

Land titles, history, etc. are still through digital transitions in India and more in remote areas. Land records are often subject to legal disputes and can not be reached with the latest technology.

Land records are 100 years old and have no coordinates for finding farms in modern modern maps. When GPS-enabled devices are created with the Custom Landing.

Identification System (LOS) can release borders fields when filling in apps on the web, intelligence artifacts combined with Natural Language Processing (NLP) are helping a smarter and easier-to-use system for debt-buyers .

This technology is combined with a larger amount of credit when dealing with large markets that are not utilized by farmers in remote areas.

Technology for monitoring Farm activities

Large traps still bring small farmers who do not have banks to the banking sector, and how to provide banks / financial institutions to secure credit without fear of legal prosecution.

This can only happen when banks are empowered to make decisions with data that may occur in the past.

Data imaging machines and learning machines can be used to monitor the data gap needed to assess the production capacity of farmers and to monitor progress.

A sensing tool that can be used to uphold harvest history, cultivate harvested crops in various drains, water levels to determine irrigation, poor quality etc. All of this information can be calculated by harvest time, forecast estimates and predictive predictions of the standard in advance.

Remote sensing

AI, and learning machine tools can not only understand better understanding of capacity payers but can strengthen financial institutions to check defense grounds and monitor crop production on desktops without physical monitoring.

Therefore, it can reduce costs, time turnaround of debt applications and add p

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