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Information and communication technology has changed rapidly over the past 20 years with a key development being the emergence of social media.

The pace of change is accelerating. For example, the development of mobile technology has played an important role in shaping the impact of social media. Across the globe, mobile devices dominate in terms of total minutes spent online. This puts the means to connect anywhere, at any time on any device in everyone’s hands.

The Internet of Things (IoT) has provided ways to improve nearly every industry imaginable. In agriculture, IoT has not only provided solutions to often time-consuming and tedious tasks but is totally changing the way we think about agriculture. What exactly is a smart farm, though? Here is a rundown of what smart farming is and how it's changing agriculture.

What is a Smart Farm?
Smart farming refers to managing farms using modern Information and communication technologies to increase the quantity and quality of products while optimizing the human labor required.

Among the technologies available for present-day farmers are:

Sensors: soil, water, light, humidity, temperature management
Software:  specialized software solutions that target specific farm types or applications agnostic IoT platforms
Connectivity: cellular, LoRa
Location: GPS, Satellite
Robotics: Autonomous tractors, processing facilities
Data analytics: standalone analytics solutions, data pipelines for downstream solutions -- edited

Direct interaction:
API tests send requests directly to API endpoints and analyze the responses to ensure they meet expected outcomes. This involves checking status codes, response times, and the structure and content of the data returned.
Focus on business logic:
API testing primarily validates the underlying business rules and data flow within an application, independent of the user interface.
Early defect detection:
By testing APIs early in the development lifecycle, issues can be identified and resolved before they become more complex and costly to fix in later stages.
Automation potential:
API tests are highly automatable, allowing for frequent and efficient execution, which is crucial for continuous integration and continuous delivery (CI/CD) pipelines.
Types of API tests:
This can include functional testing (verifying core functionality), performance testing (measuring response times under load), security testing (identifying vulnerabilities), and integration testing (ensuring seamless communication between APIs and external services).