10 Ways Artificial Intelligence in Farming will Help

Artificial Intelligence in Farming

Artificial intelligence is a broad term. In general, AI encompasses anything an entity does that is considered “smart” or clever. The most common way people think of AI is the frightening robots from sci-fi movies intent on human destruction, but really it can include a wide range of topics including medicine, music, games and more. In this article, we’ll focus on how artificial intelligence in farming can help – learn about some practical applications that have been implemented in some capacity today, some upcoming features that

Artificial intelligence in farming

Artificial intelligence has the potential to drive major agricultural productivity advances by better managing resources for long-term sustainable growth. Artificial intelligence holds the potential to transform automation of tasks, discovery of novel solutions, and forecasts modeling. It’s essential to understand that algorithms used in AI are not static but growing with mining.

10 ways that AI will help farmers

Ten ways that AI is prepared to help farmers with their work include:

  • Tracking soil;
  • Managing large-scale orchards;
  • Monitoring orchard, flower, and farm conditions automatically to maximize yields without harming the environment or using pesticides
  • Planting seeds in the most efficient way to minimize the use of arable land
  • Counting pigs, dogs or chickens
  • Producing a clear and simplified picture of the situation on a farm, including all tasks, animals, objects.
  • Yield mapping in agricultural with AI
  • Monitor every crop field’s real-time video with AI
  • Improve crop yield prediction through real-time sensor data with AI
  • Large-scale agricultural operations are pioneering drone data with AI

How to start using AI in your farm

Setting up your initial infrastructure for AI will take time and investment. At first, computers will be installed next to windmills where they’ll collect various data points including the weather, the crop, soil conditions, and harvesting schedules among other information. There are many different types of farms where AI can be used so it is up to you to figure out what will work best for your land.

Sorting crew leaders better with AI

Algorithms will identify your crew members’ strengths and weaknesses, meaning that leadership can be assigned on potential, not just seniority. That means more efficient crews with less turnover. Some of these changes will be enabled by the coming ship-switch rebalance, which is a related feature worth noting. It’ s slow, but we’re neck-deep in several different changes which will make everybody happier.

What’s the best technology for bringing in new equipment?

Technology is making farming easier, and Artificial intelligence is no exception. AI creeps into new areas of the industry every day, like earning profits on crops by predicting commodity prices more accurately than experts can. It reliably gathers data on larger numbers of factors than humans could ever hope to monitor. Most AIs are still fledgling, but some farming experts predict they’ll be better at precision agriculture techniques like managing water supplies in the driest regions.

Tracking soil conditions with AI

Farmers use sensors to monitor the levels of oxygen in soil – when it becomes too low, they know its time for fertiliser. AI will track these levels automatically! Artificial intelligence will also be used to track weather patterns. Like soil levels, depending on how much rain or temperature change is tracked, different actions are taken.

Managing large-scale orchards with AI

Imagine having the ability to maximize the crop volume of all trees in your orchard by 10% with AI. Farmers around the country will finally be able to increase their crop volume without additional infrastructures like barns, land, water, and expensive equipment. The sky is the limit in terms of how much more fruit they can grow in their farm. Experts believe this impressive movement towards AI farming will only continue to rise considering main manufacturers are already pushing for it.

Maximize yields without harming the environment or using pesticides with AI

In an industry where work is highly-competitive and funds are limited, artificial intelligence will be a high-value investment. Robots can test for specific diseases or pests, while AI can analyze samples to determine the appropriate conditions for growing different crops. This removes the need to use pesticides, herbicides, harmful chemicals and manual labor.

Planting seeds with the help of AI

We can now plant seeds with the help of artificial intelligence. The AI decides on the size, toxicity level, and growth period for each individual plant. Because there are so many varieties of seeds available to plant, this helps to take out any uncertainties that come with choosing one. This process will allow AI to take care of anything that comes up during assembly or planting, ensuring that your crops are both nutritious and healthy.

Counting pigs, dogs or chickens with AI

AI in farming can help in any kind of agriculture, but since I’m into pigs, let me tell you how they can use AI to count their co-brethren that are dispersed on the field. Researchers developed an object detector for farm animals that processes camera videos in real time. They focused on detecting pigs because they are big, white and often out of sight among the crops or hay piles. They also developed detectors for dogs and chickens so they may be more easily detected with small farm vehicles.

Producing a simplified picture of all tasks on a farm with AI

In a farming operation, cultivators will spend long hours in the fields steering autonomous equipment to plant and spray crops. In the hot summer sun, anything from actuator failures to broken GPS receivers could cause setbacks. AI can scan imagery from low Earth orbit for field conditions, compare historical data with the latest gathered, and write reports for decision makers.

Yield mapping in agricultural with AI

Linear programming is one of the most complicated problems in artificial intelligence, but yield mapping is not practical if AI isn’t used. This program works with algorithms that allow farmers to not only determine how much to plant, but also when to plant other crops in order to get the best production for their area. ‘Mapping every node in a network is a task that can be done on a supercomputer, but it’s not practical,’ said Stewart . ‘Once you pick your node, there’s a few steps that take place. It takes a very excited set of environments, data sets, and AI techniques, and then it runs the field and makes weight determinations,’ he said. www.santee.com

Monitor every crop field’s real-time video with AI

It’s possible to monitor every single farm’s crop field by encircling it with fixed cameras that include AI that focus on individual crops. With the use of drone cameras, these crop fields can be monitored whether manned or not. Artificial intelligence can also analyze pictures and videos for irregular growth patterns, seasons, diseases, and pests. The camera feed will allow farmers to react quickly to whatever problem has arisen before the situation spirals out of control.

Improve crop yield prediction through real-time sensor data with AI

AI is able to parse data so fast that this enables farmers to know what tasks they should prioritize at any given time, whether it’s harvesting or upgrading their irrigation system. The result is an increase in crop yield because of more efficient use of natural resources.

Large-scale agricultural operations are pioneering drone data with AI

The first commercial drone took off in 1973, but it didn’t enter industrial use until the beginning of this decade. The technology is highly versatile, and recent developments have lead to its adoption across other industrial sectors too. One example of this is its application to vertical farms, where it provides data input for automated production.


In conclusion, AI in farming is a useful feature that has come with many benefits. The UN estimates that with AI, we could produce an additional 420 million tons of high quality food in 2050 in comparison to 2000 levels. With time and development in this field, there are a plethora of new AI features in the pipeline – including a robot that can work on zero hours of sleep!