Crop Lab: Crops disease detection using deep learning integrated with a mobile application

Abstract

The farming sector has primarily sourced Ghana's economy. Its importance can never be underestimated, from feeding households to serving manufacturing industries. The agricultural sector suffers a continuous annual disease attack which predominantly affects crop output. However, most large- and small-scale farmers in Ghana fail to devise ways of automating the detection and control of disease infection. Instead, they rely on a manual approach to diagnose their crops. The manual process is time-consuming, and the outcome is mostly incorrect observations and interpretations. It results in low-quality production of food crops. Therefore, to address these challenges, Crop Lab Mobile Application is designed and integrated with an efficient deep-learning model to aid farmers in identifying and treating various diseases affecting their crop plants quickly. Crop Lab provides a rapid first-aid kit for farmers to diagnose and treat crop diseases without needing external agricultural officers.