Artificial Intelligence-Based Sustainable Agricultural Practices

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Abstract
A world hunger crisis has risen since 2019 when COVID-19 hit the world. This pandemic has shifted this generation back in time, and now it is very important to be involved in new techniques that are effective in terms of better yield with less toxins. With the rate at which the population is growing, it is expected that by the year 2050, the world population would cross 9 billion. This exponential rise would require the food production to rise by 70 to 80%. This is a matter of concern for agriculture and food industries. As the world is in the fourth industrial revolution, it is the need of the hour to embed artificial intelligence and machine learning algorithms with agriculture. This research aims to accumulate different methodologies that are present and come up with a critical analysis. These methodologies have the capability to increase the yield, predict the diseases, and even increase the safety and help enhance traceability.

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