1 publication

• Published Subscription 1 Jun 2022

  Survey on Progress in Agricultural Yield Prediction-from Machine Learning to Deep Learning

  By Neetu Agarwal, Susmita Ray, K. C. Tripathi

  Abstract: Machine learning has offered new prospects for data-intensive study in the multidisciplinary field of Agri-technology, especially with the rise of big data systems and advanced computers. Machine learning is a powerful decision-making tool for predicting crop yields, as well as determining which crops to plant and what activities to engage in during the crop's growing season. To facilitate the study of the prediction of the agricultural yield many techniques of …

  Published in OmniScience: A Multi-disciplinary Journal · Vol. 12, Issue 1, 2022 · pp. 6–16 Read article →