Predicting crop yields is very important and plays an important role in controlling Material disposal and marketing of products. The quantity and quality of agricultural products is the determining factor of food security all over the world. This is especially important in developing countries where agriculture is an important part of the economy. To predict crop yield, we need to know how much sunlight the plants receive or how much water they need. Plant growth depends on these two factors, but not only these two, but many other factors such as temperature, humidity, and soil type, also affect plant growth.

Remote sensing data

Remote sensing means obtaining information about an object or phenomenon without direct contact with it and in a non-intrusive way. In agriculture, it is used to monitor crops, light, soil, and humidity. Remote sensing uses electromagnetic radiation (EMR) such as radio waves, microwaves, infrared, visible light, and ultraviolet light to obtain information. Remote sensing data is a method to estimate the amount of light received by plants and thus predict crop yield. Remote sensing data is a powerful tool for estimating crop performance, which shows that the use of technology in agriculture or agritech can produce great achievements. This technology provides information about the growing crops and their environment and allows us to estimate crop production.

Regression models,

Regression analysis was invented in the 19th century and was used in agriculture in the 1900s to measure agricultural productivity. Regression models use parameters such as weather, soil variables, and historical crop performance to predict yield. These models have been used in agriculture for nearly a hundred years now, and with the new techniques that have become available, today, with relevant data and high computing power, data analysis has become faster.

Satellite data

In predicting crop yields, regardless of the algorithm used, it helps in obtaining high-quality data. In this way, they provide new data and create new levels of accuracy. The latest accuracy levels for crop yield prediction are 96-98%, using a combination of satellite data sources and tree models.

The importance of predicting crop yields

Humanity depends on agriculture, not only for food, but also for jobs and the country's economy, and this shows the importance of agriculture. More than 1 billion people and nearly 30% of the world's total workforce are employed in the agricultural industry. The production of food and crops directly controls the size of the population, so it is clear that if there is not enough food, the population cannot grow. As agriculture improves, the population also increases. Considering the importance of agriculture in the world, predicting the yield of crops helps to increase agricultural productivity, and this is effective in food production and the economy of each country.

Last word

Product and crop yields prediction has been tested and used for centuries. As we learned about the importance of agriculture, we can also understand the importance of predicting crop yield. In this way, we can reach these results by applying technology in agriculture.