Ringle Review – Artificial intelligence in Agriculture

2024-3-8

Rephrasing

(1)Original

Especially these days, the negative aspect is larger / is getting bigger, for example losing humans jobs and the fake deep technology.

Modified

Especially these days, the negative aspects are becoming more severe (more serious). For example, workers are losing their jobs to AI technology and other people suffer from deep fake technology.

(2)Original

When we’re creating some arts with AI, the work is much easier, because you can create the work just for several seconds.

Modified

When we create art with the help of (with the assistance of) AI, we can finish an entire piece in just a few seconds.

(3)Original

Even though there are many negative aspects of AI, I think we cannot avoid the use AI in the future. That’s why I want to focus on using it wisely.

Modified

On the other hand (Conversely) (By contrast), even though there are many negative aspects associated with (related to) AI, I think we cannot avoid the use of AI in the future. For that reason (As a result), I want to focus on how to use it wisely.

Strawberries are very soft compared to other fruits, so they are easily injured.
There is a robot that picks up the strawberry using its specially designed robotic arms. These arms are equipped with grippers or suction cups that gently grasp or suction onto the strawberry when it’s determined to be ripe and ready for picking. The robot’s advanced sensors and algorithms help it precisely position the grippers or suction cups around the strawberry, ensuring a firm but gentle hold. Once the robot has securely grasped the strawberry, it carefully lifts it from the plant and places it into a collection container or tray. This process is repeated for each ripe strawberry in the field, allowing the robot to efficiently harvest the crop while minimizing damage to the fruit.

How can AI recognize ripe strawberries and harvest them?
1)Visual Recognition: The strawberry-picking robot is equipped with cameras and sensors that capture images of the strawberries on the plant.
2)Color and Size Analysis: The robot analyzes the color and size of the strawberries using computer vision algorithms. Ripe strawberries typically have a vibrant red color and reach a certain size.
3)Optical Character Recognition (OCR): The robot’s OCR system scans the strawberries for specific visual cues, such as uniform ripeness and absence of blemishes or damage.
4)Data Comparison: The robot compares the visual characteristics of the strawberries against predefined criteria for ripeness. This criteria is typically based on parameters such as color, size, and texture.
5)Decision Making: Based on the analysis of the visual data, the robot determines which strawberries are ripe and ready to be harvested. It may also take into account factors such as time since flowering and environmental conditions.

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