Can Artificial Intelligence Provide Ground Level Farm Insights?

A farmer’s credit score is calculated basis his farm size, loan history, crop, irrigation status, other farmland parameters, Aadhar card and phone number as well. There is no scientific technique of evaluating these parameters thus far in India despite there being 460 million internet users in the country. These factors are evaluated manually or rather ambulatory or by motorways if the roads would permit.

Soil quality and moisture content changes every 10 kilometres and is based on various factors including its distance from a water body and the crop grown seasonally and if there is an aiding production on the farm that could supplement the soil elements. As such, each farm story could be a new chapter every few yards.

Mainstreaming artificial intelligence in agriculture

Waging a civil war, goodness against evil, protecting life and liberty and moral character of the species, how is the most powerful transformer altering agriculture? Image recognition feature is not just for the security of your phone and data. Drones need not be the buggers peeping into your plate at a function or eavesdropping into your conservations.

These protagonists of AI cannot be confined to motion pictures and the auxiliary world, these heroes need to be mainstreamed now and help us where humans can’t reach.

Are sample collection and lab testing the only way to discern soil productivity to gauge the probability of successful harvest by a farmer?

And how does one do that, on foot like in the traditional Girdawari system?

But is that conducive to periodic monitoring of the farm to assess the final output?

How does the lender safeguard his interests then, or the seed manufacturer decide his promotion strategy or at the national level?

How does the government allocate its budget or forecast its GDP?

Big data is not big enough if it’s still manual and still prorated. Modern-day farming could ensure alerts against damaging infestation and contamination provide the big picture with facts about humidity, temperature and chemicals or small, medium and big agribusinesses.

Farm Data in India Re-imagined by Farmguide

Conservative crop health monitoring methods are hard time conserving, they are typically physically exhausting, sluggish and stiff due to their bureaucratic nature.

With the government footmen travelling far and wide, just how frequently can their evaluation of the countless farms in India be?

And then without continuous monitoring just how robust could the evaluation be?

With multiple coordinate mapping and geospatial imaging, Farmguide can generate a diagnostic-specific detailed report that can be consumed by various sectors of this industry. The precision of this data is available at various levels of granularity of individual or shared plots. Any industry player or progressive farmer can understand a bulk number of farms by being able to profile them remotely without having to run their field agents. These features of satellite imaging are equally, if not more, beneficial for all agri-businesses running their agents on the ground.

Customizing Ground-Level Agriculture Data

Not only does AI demarcate your boundaries, evaluate the soil quality and determine the crop yields, but also with out-of-box innovations like sensors, radars and GPS systems, weather prediction can be ultra-precise. With high-resolution RGB cameras, they can review the cropping frequency and crop change.

Farmguide equips the agriculture sector with high-resolution Red-Green-Blue (RGB) spectrum cameras or Normalized Difference Vegetation Index (NDVI) maps illustrating plant health from satellite imagery but also its agricultural importance and insights to the technical data.

FarmGuide’s multiple years of experience and on-the-ground gained subject matter expertise helps the user comprehend, analyse and introspect with this data with their detailed commentary and inferential advice. This helps other agritech industries provide farmers with a solution to augment their business and agricultural practices in case of the farmer.

This also helps the agricultural supply industries to customize their products to cater to specific needs of a particular farm ecosystem basis its crop type, soil type, region and weather, market and demand, etc.

‘God of small things aka Internet’

AI and Internet of Things (IoT) allow the world to move in a direction formerly only visualized but today is a virtual reality. We never thought computers would replace humans, but they did and in many ways for the better. In farming, AI is helping innovate operations that are lax and lagging behind the mark for want of manpower, this is where AI can be put to best use. Farmguide is reaching out to complement the manual practices and eradicate the hopelessly taxing ones to provide data and intelligence on a platter to be fruitfully consumed by the entire agricultural sector.

“Cognitive computing in agriculture is going to be the most disruptive force in the industry, as big as green revolution”-Rick Morris, IBM Smarter Agriculture Executive