Reference Hub4
Deep Learning Applications in Agriculture: The Role of Deep Learning in Smart Agriculture

Deep Learning Applications in Agriculture: The Role of Deep Learning in Smart Agriculture

Hari Kishan Kondaveeti, Gonugunta Priyatham Brahma, Dandhibhotla Vijaya Sahithi
ISBN13: 9781799817222|ISBN10: 1799817229|EISBN13: 9781799817246
DOI: 10.4018/978-1-7998-1722-2.ch020
Cite Chapter Cite Chapter

MLA

Kondaveeti, Hari Kishan, et al. "Deep Learning Applications in Agriculture: The Role of Deep Learning in Smart Agriculture." Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture, edited by Pradeep Tomar and Gurjit Kaur, IGI Global, 2021, pp. 325-345. https://doi.org/10.4018/978-1-7998-1722-2.ch020

APA

Kondaveeti, H. K., Priyatham Brahma, G., & Vijaya Sahithi, D. (2021). Deep Learning Applications in Agriculture: The Role of Deep Learning in Smart Agriculture. In P. Tomar & G. Kaur (Eds.), Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture (pp. 325-345). IGI Global. https://doi.org/10.4018/978-1-7998-1722-2.ch020

Chicago

Kondaveeti, Hari Kishan, Gonugunta Priyatham Brahma, and Dandhibhotla Vijaya Sahithi. "Deep Learning Applications in Agriculture: The Role of Deep Learning in Smart Agriculture." In Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture, edited by Pradeep Tomar and Gurjit Kaur, 325-345. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-1722-2.ch020

Export Reference

Mendeley
Favorite

Abstract

Deep learning (DL), a part of machine learning (ML), comprises a contemporary technique for processing the images and analyzing the big data with promising outcomes. Deep learning methods are successfully being used in various sectors to gain better results. Agriculture sector is one of the sectors that could be benefitted from the deep learning techniques since the current agriculture techniques cannot keep up with the rapid growth in population. In this chapter, the recent trends in the applications of deep learning techniques in the agricultural sector and the survey of the research efforts that employ deep learning techniques are going to be discussed. Also, the models that are implemented are going to be analyzed and compared with the other existing models.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.