Review on Crop Yield Prediction with Deep Learning and Machine Learning Algorithms

The weather, as well as the difficulty of forecasting it, has contributed to the fall in crop output. As a result, farmers rely on accurate weather forecasts to run their businesses. Agriculture is interwoven with other industries, including the sugar industry, which relies on sugarcane farmers. They may be able to better organise their logistics by employing machine learning or artificial intelligence to estimate agricultural production. As a result, both AI and connected IoT devices have a lot of potential in agriculture. When estimating agricultural yields, there are various elements to consider. Weather trends, satellite images, soil quality, and the potential of an infestation are all investigated in this location. When all of these criteria are taken into account, a complete picture of when crops should be planted emerges. In the event that unanticipated problems develop, there are also “what-if” scenarios and backup plans in place. Climate change can affect agricultural production in a variety of ways, including changes in average temperatures, precipitation amounts, heat waves, CO2 levels in the air, and ozone levels at ground level. Climate change has a wide range of affects from country to country. Lower-elevation countries are more prone to have difficulties producing crops. Equipment capable of accurately predicting the evolution of weather patterns is required Weather forecasts based on statistics look at previous data to see if there are any patterns between seasons. As a result, the winter data can be used to forecast summer temperatures. Winter temperatures will almost probably alter if summer temperatures change. In the published literature, researchers have detailed their confirmed solutions to various problems. If prior concepts are used without first receiving a qualified review, future researchers will not get the desired results. If the researchers don't first undertake a thorough investigation of the most recent indications of performance, it's likely that they won't be able to find evidence of future growth in the direction of excellence. Students must perform significant investigation on a variety of concepts and their connections to modern advancement in order to become proficient researchers. In order to meet these demands, this paper covers the publication of multiple papers in various journals at various times over the years.