usage of hyperspectral image is to improve crop management efficiency and obtain more productive and high-quality crops, it is possible to detect levels of nutrition, moisture, diseases, and pests that affect crops. With hyperspectral imaging, crops can be accurately monitored and image data analyzed to determine levels of nutrition, moisture, diseases, and pests. This can help identify the best ways to manage crops and improve their productivity and quality. Determining the type and nutrient and water content of the soil can also help us identify optimal characteristics for agriculture .

Weather forecasts in real-time typically rely on a combination of observational data and numerical weather models ,Observational data includes measurements of temperature, humidity, wind speed and direction, precipitation, and other variables collected from weather stations, satellites, and other sources in weather forecasting can provide accurate and timely predictions of weather conditions at the moment.

Crop yield modeling can help drive efficiency in agricultural production systems by allowing farmers to manage their inputs more efficiently. These models work to achieve maximum crop performance while minimizing inputs, such as fertilizers, irrigation, or other applications.