How AI Is Revolutionising The Agricultural Industry

With continued urbanization, many industries across the globe have been witnessing a significant transformation. The fortunate thing is that most of it is progressive. The agriculture industry is no exception. According to research , the CAGR is estimated to rise to $2.5 billion in 2026. AI and ML have great potential to revolutionize the agricultural industry.?

Data annotation AI addresses a fair share of challenges when it comes to the automation of agricultural processes. This post will take a look at how AI is revolutionizing the agriculture industry, starting with how annotation AI works in agriculture. Let's take a look.

How Annotation AI Works in Agriculture:

We already know how computer vision models make farmers' lives easier in a lot of ways. Some areas in which annotation AI excels include crop monitoring, pest control, pest monitoring, labeling worms, drone surveys for detecting cracks, and so on.?

Image annotation generates data sets that facilitate the operation of computer version models in the real world. This technology recognizes crops and other objects that help with decision-making. A good Iannotation platform supports a wide variety of agricultural formats and workflows with labeling experts people in the agriculture industry can count on.

Annotation AI also facilitates the creation of custom training data and integration with agricultural robotics. Some popular annotation techniques include polygon annotation, bounding boxes, semantic segmentation, key points, cuboid annotation, as well as polylines.

Practical Applications of AI in Agriculture:

AI has already made the agricultural shift from conventional farming to smart farming. After all, it was a necessity considering there are going to be more mouths to feed in the coming years. The below-mentioned practical applications of AI and agriculture take the load off farmers and relieve them of the pressure to cater to ever-increasing demand.

Soil and Crop Monitoring

Starting from the ground, there was a time when human judgment and observation determined the quality of the soil. But now, drones and visual sensing Artificial Intelligence can interpret aerial images of data. They then analyze them with other annotation data to identify crop malnutrition, track the health of the crop, and fine-tune the accuracy of yield predictions. Determining problem areas beforehand can help farmers take quick action and save more time.

Identification of Crop Growth Stages

Identifying the crop growth stages has always been one of the most resource, time, and labor-intensive tasks for farmers. Computer vision excels when it comes to detecting maturity in crops, vegetables, and fruits, especially ripeness. In fact, researchers state that the algorithm provided a super successful classification and detection rate as high as 99.31%.

Detect Insects, Bugs, Worms, and Diseases

Thanks to image detection, classification, and segmentation, AI computer vision successfully detects insects, bugs, worms, and diseases in crops. Not only that, but AI annotations also help agriculturalists in determining the number of bugs with high accuracy as well!

Detection of Weeds

Weeds are every farmer's nightmare. Thankfully, AI annotations label these unwanted guests and empower farmers to remove them as soon as the algorithm detects one. Doesn't that save enormous painstaking labor and divert human energy to other productive tasks?

Interesting Insights on Smart Agriculture:

Did you know that by the year 2025, the demand for food can leap up to 35%-56% ? According to Forbes , global expenses on ML and AI agriculture can rise to $15.3 billion by the year 2025.

The best part about the integration of AI in agriculture is that farmers can easily improve yields to an extent that individual rows of plants give maximized produce. And did you know about the best part? It actually uses fewer resources even though the crop output is ultimately high and more precise!

Summing It Up

Yields and quality of crops have become more sophisticated and efficient than they used to be about decades and centuries ago. But no matter how much we have risen, there is always a scope for continuous improvements. With population explosion being off the charts, scarcity of land and water is likely to rise. Not to mention, climate change has its own adverse impacts. But there is a silver lining and that's technology, precisely, AI.

AI supports the evolution of farmers with the help of optimizable data that further leads to precision in cultivation. Of course, provided, you opt for high-quality data annotation services that integrate a human-assisted methodology with precise training data and ML assistance.?

The industrial era was all about hard work, now it's time for smart work to take the center of the stage. Needless to say, data annotation services are a huge catalyst to such tremendous growth. It's high time we step out of our comfort zones and start embracing the revolutionizing impact of Artificial Intelligence has on food production and agricultural progress.

DesiCrew offers expert annotation services in agriculture. Reach us on [email protected] to know more.