AI technology helps in detecting disease in plants, pests and poor nutrition of farms. AI sensors can detect and target weeds and then decide which herbicide to apply within the region. This helps in reduced usage of herbicides and cost savings.
Artificial Intelligence (AI) can be highly beneficial to the agriculture production system in several ways:
Precision Agriculture: AI can help farmers make informed decisions about crop management, including planting, fertilization, and pest control, by analyzing data from various sources such as weather forecasts, soil sensors, and crop health monitoring systems.
Yield Optimization: AI algorithms can predict yields based on factors such as weather patterns, soil quality, and pest infestations, allowing farmers to optimize their production and reduce waste.
Livestock Monitoring: AI can be used to monitor the health of livestock, detect signs of disease early, and track feeding patterns, improving animal welfare and reducing production losses.
Supply Chain Optimization: AI can help optimize supply chains by analyzing data on demand, production, and transportation costs to reduce waste and increase efficiency.
Precision Irrigation: AI algorithms can analyze data from weather forecasts, soil moisture sensors, and other sources to optimize irrigation and conserve water.
These are some of the ways AI is being applied in agriculture and many more advancements are expected in the near future to help increase production efficiency and improve overall agricultural outcomes.