Artificial Intelligence:
Artificial intelligence is founded on the idea that human intelligence may be described in such a way that a computer can simply imitate it and carry out tasks ranging from simple to sophisticated.
Artificial intelligence aims to improve learning, reasoning, and perception. AI is having a significant impact across the board. Every industry is striving to deploy intelligent machinery to automate certain operations. Agriculture and farming are two of the world’s oldest and most essential occupations. It has a significant impact on the economy. Agriculture is a $5 trillion industry worldwide. In this essay, I’ll discuss the obstacles that farmers encounter when adopting conventional agricultural practices and how they might overcome them.
Applications of Artificial Intelligence in Agriculture:
Artificial Intelligence (AI) is being used by the agriculture industry to help produce healthier crops, control pests, monitor soil and growing conditions, organize data for farmers, reduce effort, and improve a wide range of agriculture-related operations along the food supply chain.
Use of weather forecasting:
Farmers can use Artificial Intelligence to assess weather conditions by employing weather forecasting, which helps them plan what type of crop to cultivate and when to plant seeds.
Soil and crop health monitoring system:
The kind of soil and the nutrients in the soil influence the type of crop planted and the quality of the crop. PEAT, a German tech start-up, has created Plantix, an AI-based application. This software makes use of picture recognition technology to identify nutrient deficits in soil, as well as plant pests and diseases, so farmers may have a better sense of how to utilize fertilizer to improve crop quality.
Analyzing crop health by drones:
Drone-based Ariel imaging solutions for crop health monitoring have been introduced by SkySqurrel Technologies. In this method, the drone collects data from fields, which is subsequently sent to a computer via USB drive and examined by experts.
Precision Farming and Predictive Analytics:
Agriculture AI applications have produced apps and tools that assist farmers in performing correct and regulated farming by offering proper advise on water management, crop rotation, timely harvesting, type of crop to be cultivated, optimum planting, pest attacks, and nutrition management.
Agricultural Robotics:
Robots that can easily do several duties in farming fields are being developed by AI businesses. When compared to people, this type of robot is trained to suppress weeds and harvest crops at a faster rate with bigger volumes.
AI-enabled system to detect pests:
AI systems analyses satellite photographs and compare them to previous data to determine whether any insects have landed and, if so, what species of insect has landed (locust, grasshopper, etc.). Also, send farmers alerts via their smartphones.