Agriculture is transforming on a large scale. In the early days, the farmers had to rely on personal experiences, primarily manual labor, and weather forecasts. But now, with the help of Artificial Intelligence, also called AI in agriculture has entered a smarter and more rapid era.
AI in agriculture is implemented through the help of computer programs and smart machines that assist the farmer in making more judicious choices. It can detect crop diseases in time, automatically eliminates unwanted weeds, ensures the animals are healthy, and even predicts the amount of harvest that the farmer will have.
It also saves water by providing plants with the amount of water they require and monitors fields in real-time with a drone. This technology does not only belong to large farming firms. There is also an initiative of small and local farmers to use AI to save on costs, save effort, and produce better crops.
When combined with Agriculture ERP (Enterprise Resource Planning), AI tools become a more powerful assistant to farmers, starting with planting seeds and ending with selling the produce. In this blog, you’ll discover 7 major ways AI is being used in agriculture, including how each works, what features they offer, their pros and cons, and real-life use cases.
Here are 7 simple ways AI is helping farmers grow better crops, save time, and make smarter farming decisions.
The AI in agriculture application in detecting crop diseases implies detecting plant illness early through the assistance of intelligent computer systems. These systems take pictures of leaves or crops and compare them to thousands of other pictures to locate any issues. It assists the farmers in moving swiftly to save the crops.
As an example, a farmer in Punjab scans the leaves of a potato with the help of a mobile application. This app identifies the earliest symptoms of late blight and proposes an organic solution immediately. It is a quick move that can save the whole crop of potatoes.
How It Works
Plants are photographed by a drone or a smartphone in the hands of farmers. These pictures are cross-checked with thousands of samples of plant diseases in the AI database. The system identifies problems such as fungus infection, blight, or bacterial spot and suggests solutions.
Key Features
Pros
Cons
Smart automatic weed control machines are devices that assist farmers in getting rid of undesired plants, such as weeds, on farms. Using AI in agriculture, such systems can detect weeds and eliminate them in the shortest time possible. This assists crops to grow better and saves the farmers much time and effort.
For example, it is possible to consider the case of lettuce farmers whose workers manage smart tractors that detect and eliminate weeds. These machines consume very little herbicide, which saves farmers money and leaves the ground in good condition to grow crops with reduced chemical use.
How It Works
Intelligent cameras capture clear images of the ground. AI then informs us about the difference between weeds and crops. After the detection of weeds, small machines or small sprayers are used to eliminate weeds, and crops remain healthy and safe in the process.
CropIn SmartFarm
Starting Price
₹ 6000.00 excl. GST
Key Features
Pros
Cons
Livestock health monitoring uses smart devices with AI in agriculture to monitor animals’ health, behavior, and daily activity in real time. It enables farmers to quickly detect in case any animal falls sick, is injured, or is stressed, so they can appropriately attend to it before causing more serious health issues.
For example, a New Zealand dairy farmer places a smart sensor on a cow and gets an early warning about illness. He provides fast treatment before any signs show up, which prevents the illness from spreading to other animals.
How It Works
Animals carry devices such as collars or ear tags. These monitors track things like their body temperature, movement, eating, and sleeping. The AI keeps an eye on everything. If something goes wrong, such as the animal gets tired or gets ill, it sends a notification to the farmer.
NAVFarm ERP
Starting Price
$ 19.99
Key Features
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Predictive analytics for crop yield means using advanced software to forecast how much crop a farmer will harvest. Through AI in agriculture, it looks at past performance, weather, and soil conditions to give farmers a clue as to what to plan for. It enables you to plan money, space, and sales.
For example, a farmer in a wheat field in Haryana is informed that his crop can be 15% lower because of a drop in rain. In a short time, he has planted 50% of his land to grow pulses instead. This smart strategy allows him to prevent much bigger losses and, at the same time, save up some money.
How It Works
The system gets information from soil sensors, weather records, satellite images, and farming practices. AI analyzes this combined data and predicts how much the crop will grow. This forecasting allows farmers to plan for storage, pricing, and timing of sale, so they are prepared and don’t go through unexpected surprises during harvest.
Key Features
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Precision irrigation systems apply AI in agriculture to ensure that plants receive the right amount of water. Such intelligent systems avoid over- and underwatering because of real-time information. It also conserves water, maintains healthy plants, and helps farmers raise better crops, reduce crop loss, and grow more productively.
As an example, a sugarcane farmer in Maharashtra checks with an AI-driven application the areas where he should water the agricultural land. Rather than the entire field being watered, he just waters the dry areas. This intelligent step makes him save 40% of water and waste less.
How It Works
AI analyzes the information of soil moisture sensors, weather forecasts, and the kind of crop. It then computes the amount of water required and at what time. Some are fully automatic and activate or deactivate the water without human assistance. This reduces time and water consumption, making crops healthy.
Key Features
Pros
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Aerial surveillance with drone assistance is based on the use of flying machines (drones) with in-built AI in agriculture to capture aerial images of farm land. These intelligent drones allow farmers to monitor small or large fields without walking through them. They also detect issues in advance, such as pest attacks or a shortage of water, so that farmers can take action before crops are ruined.
As an example, a tea grower in Assam relies on the use of drones to survey the farm. The AI identifies a section where leaves are getting thinner because of mites. The farmer only treats the area, leaving the remaining fields and preventing greater harm.
Agrivi Farm Management Software
Starting Price
₹ 628.00 excl. GST
How It Works
The drones move across farms and capture quality photographs of the crops. Such images are transmitted to an AI that monitors indicators of bad development, pests, or dry zones. It then provides the farmers with a report and a map indicating the precise location where assistance is required, hence it allows them to address issues in a shorter period.
Key Features
Pros
Cons
Supply Chain and Demand Forecasting assists farmers on when to plant, harvest, save, or sell crops, using AI in agriculture. By forecasting the future demand and the future prices, it assists in preventing losses, waste and increasing profits. It also links farmers with buyers in order to sell faster and wiser.
An example is that of a farmer of onions in Karnataka who is using an AI-based application to indicate that the prices are likely to increase during one of their festivals. He does not sell his onions as soon as he gets it. He then resells them to make them at a higher price and gain 25% more profit.
How It Works
Artificial intelligence-powered tools evaluate past prices in the market, seasons, weather, and festivals. Based on this information, they forecast which crops to produce and when they are likely to be in demand. Then the farmers are advised whether to sell or store, or wait. In other systems, local buyers or markets are also suggested in order to sell faster.
Agriculture Management Software
Starting Price
Price on Request
Key Features
Pros
Cons
Conclusion
Artificial Intelligence is transforming the practice of agriculture. It not only assists large farms but also village farmers. AI is simplifying and making farming smarter by identifying diseases in plants early, as well as providing farmers with information on when to sell their crop.
It permits the saving of water, less expense, and produces more good quality crops. Most importantly, it eliminates guesswork and assists farmers in making the correct choices.
Such devices require initial training and configuration, but they have favorable output over time.
These tools are enabling farmers to enjoy higher profits with less effort. Since the planet also needs more food, AI in agriculture can be used to produce as much as possible while preserving nature. Agriculture has become smarter each day.
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