Internet-of-things in precision agriculture is rapidly gaining popularity among farmers, owing to the increasing need for optimal production with the given resources. Furthermore, changing weather conditions and global warming have influenced the adoption of advanced technologies to enhance productivity and crop yield. In the second wave of the green revolution, the Internet of Things (IoT) in agriculture emerged. The advantages of implementing IoT for farmers are two-fold. It assists farmers in lowering expenses while increasing yields by providing reliable data to help them make better decisions. Smart farming is a high-tech and efficient approach for sustainable agriculture and food production. It is a method of integrating linked devices and cutting-edge technologies into agriculture. Smart farming is heavily reliant on the IoT, which eliminates the need for farmers and growers to do physical labor and increases the productivity in every way conceivable.
Market Dynamics
Software used in precision agriculture has the potential to automate and simplify the collection and analysis of information related to field improvement, which allows management to make correct and quick decisions and implement them in small areas within large fields. The software can be used in various applications such as geographic information system (GIS)-based information management, soil monitoring, and irrigation controlling.
GIS-based software uses location-based data to produce maps for crop management. An important function of GIS-based software is to store layers of information such as yields, soil survey maps, remotely sensed data, and crop scouting data. It can also be used to evaluate present and alternative management practices by combining and manipulating the data layers to produce an analysis of management scenarios.
For instance, CropMetrics, a provider of precision irrigation solutions, offers ‘Virtual Predictor Technology’, which allows farmers working with a CropMetrics Partner to create a custom irrigation plan for effective irrigation. Virtual Predictor is part of the unique CropMetrics solution—field-based sensors providing local support—offering unparalleled service to users. Virtual Predictor is also available through the CropMetrics mobile app, which represents the state of the art in both usability and functionality.
Key features of the study:
Detailed Segmentation
Detailed Segmentation
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