HierbaApp is a mobile application designed to identify crops and weeds images. This application leverages the power of artificial intelligence and computer vision to provide farmers with valuable insights, helping them make informed decisions and optimize their farming practices. HierbaApp is employed with HierbaNetV1, a unique CNN-based architecture which runs behind to analyze and identify the sorghum crop and its associated weeds present in the images. HierbaApp's main features are its offline capability, real-time analysis, user-friendly interface, integration of crop-weed dataset, image recognition technology, and data logging and history. HierbaApp offers three advantages: cost effectiveness, increased productivity, and precision farming. HierbaApp is licensed under the default Google Android mobile applications license. The HierbaApp is developed as a part of the research work carried out in SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, India.