Search

Researchers at Amrita Vishwa Vidyapeetham in India have conducted a study on sustainable food and agriculture. The study focuses on the use of neural networks to optimize and analyze agriculture data for improved farming practices. The researchers propose a back-propagation model with adaptive momentum estimation and the Adam optimizer, which achieves good prediction accuracy and convergence rate. The study concludes that this hybridization of neural networks with adaptive optimization methods outperforms other benchmark algorithms. The research has been peer-reviewed and published in the journal Soft Computing. [Extracted from the article]