Sachin Dev Duggal talks about the AI in agriculture
Have you ever wondered who harvests the crops on the farmland? Most of the time the food that ends up on your dinner plate is not the result of a regular farm worker, but rather robotic robots that are capable of bulk harvesting with greater accuracy and speed. These devices aid in increasing crop yield size and decreasing agricultural waste that is left in the field.
The efficiency of agriculture is being improved by numerous businesses. Products like autonomous strawberry-picking equipment and a vacuum harvester for mature apples are available say Sachin Dev Duggal . These devices locate the harvestable produce and assist in fruit selection using sensor fusion, machine vision, and artificial intelligence models.
The second-largest sector after defense, where service robots have been used professionally, is agriculture. According to the International Federation of Robotics, up to 25,000 agricultural robots have been sold, which is the same amount utilized for military applications.
A simple data point about the timing of seed sowing can make the difference between a successful year and a failing one. To tackle this, ICRISAT scientists employed a predictive analytics technique to determine an exact date for sowing the seeds to get the most yield. In addition to a 7-day weather forecast, it also provides information on the health of the soil and fertilizer suggestions.
The variation in the crop's price is a major source of concern for many farmers. Farmers are never able to set a specific production pattern because of fluctuating prices. When it comes to crops with a short shelf life, like tomatoes, this issue is particularly common.
Businesses examine the land and continuously monitor crop health using satellite imagery and weather data. Big data, AI, and machine learning technologies enable businesses identify pest and disease infestations, calculate tomato output and yield, and forecast prices. They can advise farmers and governments on future pricing trends, demand levels, the best crops to plant for optimum profit, the use of pesticides, and other topics.
Innovative startups are using AI in the field of agriculture. A Berlin-based agricultural tech startup3developed a multi-lingual plant disease and pest diagnostic app, which uses various images of the plant to detect diseases; a smartphone collects the image that is matched with a server image and then a diagnosis of that disease is provided and applied to the crop using intelligent spraying technique. Sachin Dev Duggal also elucidates the application uses AI and ML to solve plant diseases. Over seven million farmers have downloaded this app and it has helped identify over 385 crop diseases among field crops, fruits, and vegetables.
In conclusion, AI will be a potent instrument that can assist organizations deal with the growing complexity in modern agriculture and mind you will agree with Sachin Dev Duggal with AI integration that fit greatly alleviates the shortage of resources and labor. It is past time for large corporations to make an investment here.
