Smart Farming represents the application of modern Information and Communication Technologies (ICT) into  agriculture, leading to what can be called a Agriculture 4.0. The plant breeding and genetics revolutions, this Third Green Revolution is taking over the agricultural world based upon the combined application of ICT solutions such as precision equipment, the Internet of Things (IoT), sensors and actuators, geo-positioning systems, Big Data, Unmanned Aerial Vehicles (UAVs, drones), robotics, etc.


Smart Farming has a real potential to deliver a more productive and sustainable agricultural production, based on a more precise and resource-efficient approach. 

We believe that the future of Agriculture should become Data-driven, rather than remain a craft.In the 21st Century, where everything is connected, and most decisions are based on analytic data, Agriculture has remained offline, with decision making resting on the grower's skills and expertise.

When believe that the agricultural community is behind the curve when it comes to implementing new technologies, there is lots of evidence that farmers are actually moving quite quickly to modernize almost everything about the farming process – they're using artificial intelligence in new and amazing ways to bring the process of food cultivation into the future.

Management Information Systems

Planned systems for collecting, processing, storing, and disseminating data in the form needed to carry out a farm’s operations and functions.


Precision Agriculture

Management of spatial and temporal variability to improve economic returns following the use of inputs and reduce environmental impact. It includes Decision Support Systems (DSS) for whole farm management with the goal of optimizing returns on inputs while preserving resources, enabled by the widespread use of GPS, GNSS, aerial images by drones and the latest generation of hyperspectral images provided by Sentinel satellites, allowing the creation of maps of the spatial variability of as many variables as can be measured (e.g. crop yield, terrain features/topography, organic matter content, moisture levels, nitrogen levels, etc).


Agricultural automation and robotics

The process of applying robotics, automatic control and artificial intelligence techniques at all levels of agricultural production, including farmbots and farmdrones.

Smart Seed Sowing

High-tech agriculture starts at the very second that the seed is first placed in the ground. Experts in the field are familiar with “variable rate planting equipment” that does more than just planting a seed down into the dirt somewhere. Artificial intelligence work is being done behind the scenes on predictions – where a seed will grow best, what soil conditions are likely to be, etc. The power of artificial intelligence is being applied to agricultural big data in order to make farming much more efficient – and that's only the beginning.

Smart Harvesting

While manufacturing robots have been around for a while, these harvesting technologies are really something new in many ways. Harvest technologies operate on the basis of machine vision and sensor fusion to see where harvest ,robotic harvesting equipment, partially in response to labor gaps . They use sophisticated directed movements to pick precisely. This is the kind of functionality that is very much in the “artificial intelligence” field and mimics human cognition and directed action.Agricultural robotics is filling a need as labor pools decrease.

People simply don't want to have to harvest enormous amounts of produce all day, every day. In that sense, harvest robotics is also making our world a little more enjoyable. Now, if people do want to pick by hand, boutique orchards and gardens offer that option.But for now, harvest robotics presents a real landmark in the very rapid modernization of the farming world.

Eye in the Sky

How are farms using artificial intelligence to direct crop planting, harvesting and more, and how are they getting that data in the first place?

In some trade journals, you can see unmanned aerial vehicles or drones being outfitted with precision sensors, in order to run the fields and get the data that's needed. These airborne surveillance engines can look for stunted crops, signs of pest or weed damage, dryness and many other variables that are part of the difficulty of farming in general. With all of this data in hand, farmers can enhance their production models and their strategies across the lay of the land to decrease risk, waste and liability.

Pest and Weed Control

Smart farmers are quickly adopting new high-tech ways of protecting plants against weeds and various kinds of pests outdoors. Another alternative is to grow in greenhouses, which is being done as well, but some of the most amazing farming technology is being deployed outside.The drone Spray model we develop at harnessing the power of artificial intelligence and computer vision.

We know that artificial intelligence excels at image processing – computers can now “see” almost as well as we can. So by deploying mobile technologies with AI and computer vision built in, farmers can find weeds and eradicate them, instead of blanket spraying an entire crop. That makes the food cleaner, and it saves enormous amounts of money. It's just another example of real new technologies that are having a dramatic impact on yields and everything else.

Yield Boosting Algorithms

When we talk about machine learning and artificial intelligence, we often talk about algorithms. The mathematical models behind the computer science are the fundamental basis for how we deal with big data to make decisions.

Companies are now quickly developing agricultural yield boosting algorithms that can show farmers what's going to be best for a crop. Despite some concerns about the difficulty of doing this type of analysis in nature, farmers and others have been able to make quite a lot of headway in maximizing crop yield, simply by applying the algorithms and intelligence generators that we've built to help computers imitate our own cognitive abilities.

Smart AI Farmer bots

There is one more very interesting groundbreaking technology that might also be one of the highlights in the modern farmer’s tech toolkit.

Imagine a tired farmer sitting down to dinner at the end of a work day, puzzling over some conundrum – how to keep the crows out of the corn, or whether to seed a rocky patch of earth.the farmer’s chatbot could be a real boon to busy farm managers who are doing all they can to expand and grow their businesses.


Population growth and climate change will be massive challenges, but artificial intelligence deployment can help blunt the impact of these and other challenges, and make smart farming much more resistant to the problems that farmers face.


  • Smart Farming

  • Satellite Images for Crop Health and sustainability

  • Ultra high Definition images  for field maintenance

  • Spraying with Smart Drones 

  • Sensor Monitoring &  Analytics

  • Artificial Intelligent Smart Bots for Real time solution

  • Image acquisition farming

  • Sensors driven smart irrigation

  • Novel Farming System

  • ICT - IOT Platform

  • Machine Learning

  • Risk Analysis

  • Loan Wavier Schemes


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