Agriculture is one of the oldest and most important occupations in the world. With the introduction of various technologies, humanity has come a long way in how we cultivate crops.
As the global population continues to grow and the land becomes scarce, we need to become more efficient in how people are creative and how we farm, useless land to produce crops and increase the productivity and yield of those farm acres.
Worldwide, 5 trillion agriculture of the industry, and now adopting AI in Agriculture, to grow healthy crops, pest control, soil and growing conditions to monitor, manage data for farmers, and a wide range of workload in order to help improve the food supply chain, agriculture Associated tasks.
AI helping analyze farm data
Farms produce hundreds of thousands of data points on Earth every day. With the help of AI, farmers can analyze various things in real-time, such as weather conditions, temperature, water usage or soil conditions collected from their farm to better inform their decisions.
For example, AI technologies can help farmers to optimize an even greater yield plan by determining crop options, best hybrid seed options, and resource utilization.
AI systems can also help improve crop quality and accuracy. Precision farming uses AI technology to detect diseases in plants, pests and plant nutrition in farms.
AI sensors can detect and target weeds, and then decide which herbicides apply to the correct heifer hides. It helps to prevent excessive use of herbicides and toxins in our diet.
Farmers using AI to create seasonal forecasting models to improve agricultural accuracy and increase productivity. These models can forecast upcoming weather patterns for months to help farmers make decisions.
Periodic assessment is especially valuable for small farms in developing countries because their data and knowledge may be limited. In addition to land data, farmers are also taking to the skies to monitor agriculture.
Computer vision and deep learning algorithms process data extracted from drones flying over their fields. From drones, AI-enabled cameras can capture images of the entire field and analyze images in real-time to identify potential areas and potential improvements.
Unmanned drones can cover more land in a short time than humans on foot, enabling large farms to be monitored more often.
AI tackles the labor challenge
With fewer people entering the agricultural profession, many farms face the challenge of workforce shortages. Traditionally, farms require many workers, mostly seasonal, to harvest crops and keep the farm productive.
However, because a large number of people live on farms, and now live in a large number of cities, some people tend to land. One solution to help the shortage of workers is AI farm bots.
These bots boost the manpower and are used in various forms. These bots can harvest crops of greater size and speed than human workers, can more accurately identify and eliminate weeds, and reduce farm costs by having a clock workforce.
Additionally, farmers have begun to turn to chatbots for help. Chatbots help answers various questions and provides advice and recommendations on specific agricultural issues. Chatbots are already being used with great success in many other industries.
By using AI and cognitive technology, farms in the world can run more efficiently, with fewer workers than ever before in meeting the food needs of the world.
There is nothing more basic than a need for food, and it will never go away. Fortunately, the use of AI allows farms of all sizes to work and nourish our world.
By using agricultural AI and cognitive technology, farms around the world can drive more efficiently to produce the basic staples of our food lifestyle.
