Towards Decision Support Model for Ubiquitous Agriculture

In the existing agriculture, critical decisions related to irrigation, fertilization and pesticides management are often left to farmers' discretion. They use irrelevant fertilizers and pesticides, and perform improper irrigation, which may lead disastrous effects on their crops. Different approaches have been proposed to enhance the Eco-sustainable agriculture, with a correct management of water resources and a calibrated use of pesticides by monitoring crops. However, most of the proposed solutions developed are location and problem dependent. In this paper, a scalable, cost effective, adaptable, and location independent model has been proposed to handle the challenges of existing agriculture. Various sensors and image capturing units have been used to assist our decision support system. Moreover, it has also been shown that our proposed model is adaptable for different conditions of weather, land and water.