How ai has changed the farming and agriculture?

AI can provide farmers with real-time information about their fields, allowing them to identify areas that need irrigation, fertilization, or treatment with pesticides. In addition, innovative agricultural practices, such as vertical agriculture, can help increase food production and, at the same time, minimize the use of resources. AI systems help improve the overall quality and accuracy of the harvest, which is known as precision agriculture. Artificial intelligence technology helps detect plant diseases, pests and poor nutrition on farms.

AI sensors can detect and attack weeds and then decide which herbicide to apply in the region. This helps reduce herbicide use and save costs. Many technology companies developed robots that use computer vision and artificial intelligence to precisely monitor and spray weeds. These robots can eliminate 80% of the volume of chemicals that are normally sprayed on crops and reduce herbicide costs by 90%.

These intelligent AI sprayers can dramatically reduce the amount of chemicals used in fields and thus improve the quality of agricultural products and increase profitability. With increased assistance and guidance related to crop rotation, harvesting, sowing, pest control and water management, precision agriculture can help increase agricultural yields and profits, while reducing waste to the greatest extent possible. With fewer people entering the agricultural profession, most farms are faced with the challenge of labor shortages. Keeping these small farms up and running and obtaining abundant harvests is important, as these small farms produce 70% of the world's crops.

Precision agriculture uses AI, machine learning and remote sensing to help reduce and replace repetitive and labor-intensive aspects of agriculture. Traditionally, farms have needed a lot of workers, mostly seasonal, to harvest crops and maintain farm productivity.

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