Volume 17, No. 4, 2020
Image-Based Maize Disease Detection: A Survey
Subodh Bansal , Aditi Bansal
Abstract
Maize (corn, Zea mays) is an important crop. It has a variety of uses. It has the potential to change the world and make it more sustainable. But it suffers from many diseases that destroy over 20% of the production. Therefore, to protect and increase its yield, a fast, accurate and efficient disease detection system is needed. This paper presents a thorough survey of various stresses faced by the maize crop, various techniques and methodologies used for detection of these stresses and the future possible course of the field. A stepwise comprehensive survey of existing techniques is presented. The survey concluded that the field is still in an early stage and a lot of work needs to be done.
Pages: 174-181
Keywords: Plant Disease Detection, Computer Vision, Pattern Recognition, Maize Diseases, Maize Nutrient Deficiencies