1 publication

• Published Subscription Review Article 22 Apr 2024

  Transformative Breakthroughs: Revolutionizing Potato Disease Detection Through Machine Learning

  By S. Shenbaha, V. Sreepriya

  Abstract: Advancements in agricultural technology and the integration of artificial intelligence for diagnosing plant and leaf diseases are crucial for sustainable agricultural development. Conditions like early blight and late blight exert a notable influence on both the quality and quantity of potato harvests. Identifying these leaf diseases manually demands significant labor and a considerable level of expertise. Therefore, efficient, and automated methods for disease detection are essential to improve potato production. …

  Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 54–62 Read article →