Paper Details

Name: Milind Mishra
Country: India

Year: 2026
Volume: Volume No: 13, January, Year: 2026 (Special Issue)
Page Number: 185-191
DOI: https://doi.org/10.5281/zenodo.18975747

ABSTRACT:
Agriculture is the spine of numerous economies; however, ranchers regularly confront challenges such as eccentric climate, soil debasement, bug invasions, and wasteful asset utilization. This research about presents an AI-based Android application outlined to enable agriculturists with real-time, data-driven experiences to improve efficiency and maintainability. The proposed framework leverages machine learning and computer vision to give edit illness discovery, climate determining, soil wellbeing investigation, and abdicate expectation. Furthermore, the app coordinating IoT-based
keen cultivating and chatbot back for moment master direction. By utilizing profound learning calculations and lackey symbolism, the framework guarantees exactness farming, decreasing asset wastage whereas maximizing surrender. The consider investigates the effect of AI-driven decision-making in farming, illustrating how the proposed arrangement can
revolutionize conventional cultivating hones and bridge the advanced partition for country agriculturist.

Keywords: AI in Agriculture, Smart Farming, Crop Disease Detection, Precision Agriculture, Machine Learning, Android App.