
Geographic information system uses satellite imagery for capturing, storing, checking, and displaying data related to positions on Earth’s surface.
In agriculture, this is very helpful in predictive and prescriptive analytics for studying the land and its attributes.

For precision farming, drones can do soil health scans, monitor crop health, assist in planning irrigation schedules, apply fertilizers, estimate yield data and provide valuable data for weather analysis.

A number of sensing technologies are used in precision agriculture.
Providing data that helps farmers monitor and optimize crops, as well as adapt to changing environmental factors
Using the machine learning algorithms in connection with images captured by satellites and drones.
AI-enabled technologies predict weather conditions, analyze crop sustainability and evaluate farms for the presence of diseases or pests and poor plant nutrition on farms with data like temperature, precipitation, wind speed, and solar radiation

IoT in agriculture technologies comprise specialized equipment, wireless connectivity, software and IT services.
IoT smart farming solutions is a system that is built for monitoring the crop field with the help of sensors (light, humidity, temperature, soil moisture, crop health, etc.)