AgrowAssist: A Unified AI-Powered Mobile Platform for End-to-End Smart Farming

AgrowAssist is an integrated mobile platform featuring four AI-powered tools designed to address key challenges across the entire agricultural lifecycle. The platform provides unified solutions for crop recommendation, disease detection, fruit identification, and quality control analysis, all accessible through a single user interface. Utilizing neural networks and computer vision technologies optimized for mobile deployment with TensorFlow Lite, AgrowAssist ensures efficient, offline operation in resourceconstrained environments. The platform analyzes soil parameters, environmental factors, and visual data to deliver actionable, datadriven recommendations, enabling farmers to make informed decisions from planting to harvest. Developed with a user-centric approach using Flutter, AgrowAssist democratizes agricultural intelligence, supporting users regardless of technical proficiency. Currently, the platform supports recommendations for 22 crop types, identification of 39 plant diseases, recognition of 41 fruits and vegetables, and assessment of the quality of 14 produce types. By overcoming limitations of existing technologies—such as high computational requirements, dependence on internet connectivity, and usability barriers—AgrowAssist empowers farmers in the field. Critically, the platform advances sustainable agriculture by promoting efficient resource use, reducing chemical dependency, and minimizing post-harvest losses, thereby contributing to environmentally and socially responsible farming practices