Improving Drone Technology Performance In Crop Fertilization

Abstract

There are inefficient factors involved in agriculture like diseases in plants, plant nourishment product like inorganic fertilizers, insects and characteristics of soil in which the farmers cultivate crops. One of the profitable agriculture factors is to make proper treatment for plants by spraying organic fertilizers and planning to control the disease occurring in plants. The manual work of spraying fertilizers highly affects the farmers’ health and is time-consuming. Many farmers use drones to help them in their agricultural fields. Both fertilizers and pesticides can be sprinkled in the field with drone technology. Moreover, IoT sensors are being used to achieve a high performance of the technology. In our system, we have proposed the Even Height Maintaining (EHM) Algorithm to maintain the constant gap between plants and drones while spraying pesticides and fertilizing crops. This improves the speed of the fertilization process in agriculture and reduces the cost of drone agriculture technology. Moreover, the use of Artificial Intelligence and Deep learning in the disease detection of crops has been discussed.