What technology is used in plant disease detection?
RGB-imaging. Digital photographic images are important tools in plant pathology for assessing plant health. Digital cameras are easy to handle and are a simple source of RGB (red, green, and blue) digital images for disease detection, identification, and quantification.
What is the use of artificial intelligence in plant pathology?
Different AI techniques like convolutional neural network, artificial neural network, and deep learning have been successfully used for disease detection in rice, wheat, maize, cotton, tomato, peas, potato, cucumber, cassava, berries, peach, grapes, olives, mango, banana, apple, sweet paper, tea, and so on.
Can AI be used to diagnose diseases?
Artificial Intelligence (AI) methods, including Machine Learning (ML) and Deep Learning (DL) algorithms, are widely used in the prediction and diagnosis of several diseases, especially those whose diagnosis is based on imaging or signaling analysis [1, 2].
Can AI be used for disease detection in crops?
AI technology helps diagnose plant diseases, pests, and malnutrition on farms and AI sensors can detect and identify weeds.
What are the disadvantages of AI in agriculture?
But the risk of cyberattack, environmental harm, exploitation of workers and a widening of the gap between commercial and subsistence farmers could all be unintended consequences of harnessing AIs power to grow our food.
How can artificial intelligence be used in agriculture?
Moreover, AI-powered machines can also determine soil and crop health, provides fertilizer recommendations, monitor the weather, and can also determine the quality of crop. All such benefits of AI in agriculture enable the farmers to make better decisions and do efficient farming. AI brings cost savings.
How is artificial intelligence used in agriculture?
Managing risks. AI provides farmers with the forecasting and predictive analytics to reduce errors and minimize the risk of crop failures. Weather forecasting. AI enables farmers to forecast temperatures and predict how many fruits or vegetables a harvest will yield.
What is the future of AI in agriculture?
Artificial intelligence technology is supporting different sectors to boost efficiency and productivity. AI in agriculture is helping farmers to reduce environmental hostile impacts and improve their efficiency. The agriculture industry strongly embraced AI into their practice to change the overall outcome.
