Enhancing Agriculture Through AI Vision and Machine Learning
Mrutyunjay Padhiary, Raushan Kumar
Abstract
Smart farming is the integration of artificial intelligence (AI), machine learning (ML), and computer vision technologies in the agricultural sector. This chapter explores the impact of AI vision and ML on agricultural practices, focusing on their applications in crop output, quality, and resource management. AI vision systems provide real-time evaluations, where machine learning also aids in predictive analytics, providing valuable information for climate modelling, planting cycles, and harvesting optimization. Implementing AI vision technology involves integrating data collection methods, IoT frameworks, and advanced machine learning algorithms for insightful analysis. Research shows the impact of AI vision on agricultural output and sustainability. However, obstacles like technology availability, ethical concerns, and data privacy protection remain. The chapter envisions a future where AI, ML, and vision technologies will revolutionize the agricultural sector, significantly improving productivity, sustainability, and the entire farming ecosystem.