Publications

Abstract : Smart farming based on recent Internet of Things (IoT) technologies is the most advanced method to grow food cleanly while making it sustainable. This method applies modern information and communication technologies to agriculture, targeted not only to reduce waste but also to increase agricultural productivity to an optimum level. Agriculture is considered the backbone of the world’s economy. The end-product’s quantity and quality both play a vital role. Using the proposed IoT technology, the identification of diseases in plants with focus on the affected area is more accurate. It also reduces the number of incorrect conclusions that may be drawn, which can lead to incorrect actions taken for sustaining the plants in farms. The proposed technique will also be able to predict the damage level by pests on plants to take appropriate actions to improve productivity. Digital images taken from the plants will be processed and examined using pattern recognition and digital image processing techniques. Proposed image analysis techniques will segment these images to identify diseases and the affected level. This will help to prevent plant disease and increase the nutrient level of the plant, with the help of IoT. The automatic detection of plant disease will be beneficial in monitoring a large field of crops.