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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/77720
Title: | Application of Artificial Intelligence and Machine Learning in Agriculture |
Other Titles: | Not Available |
Authors: | Sudeep Marwaha Chandan Kumar Deb Md. Ashraful Haque Sanchita Naha Arpan Kumar Maji |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Indian Agricultural Statistics Research Institute |
Published/ Complete Date: | 2023-04-20 |
Project Code: | Not Available |
Keywords: | Artificial intelligence (AI) Machine learning (ML) Agriculture Recommender system Phenomics Geographic information system (GIS) Remote sensing |
Publisher: | Springer, Singapore |
Citation: | Marwaha, S., Deb, C.K., Haque, M.A., Naha, S., Maji, A.K. (2023). Application of Artificial Intelligence and Machine Learning in Agriculture. In: Harohalli Masthigowda, M., Gopalareddy, K., Khobra, R., Singh, G., Pratap Singh, G. (eds) Translating Physiological Tools to Augment Crop Breeding. Springer, Singapore. https://doi.org/10.1007/978-981-19-7498-4_21 |
Series/Report no.: | Not Available; |
Abstract/Description: | Artificial intelligence (AI) is the branch of science that deals with the development of machines to mimic human intelligence. Machine learning (ML) is subdomain of AI where the machine can learn automatically from data without being explicitly programmed. Agriculture is constantly pressed upon to produce more with less resource. AI and ML techniques have the capacity to optimize resource utilization by analysing agricultural data. It has changed the present- day face of farming by predicting various input parameters and forecasting post-harvest life of a crop. This chapter discusses the different AI and ML techniques available and how they have been used in different phases of the agriculture life cycle. This chapter includes vast range areas in agriculture that requires AI and ML It includes soil, irrigation, and disease managements. Importance of AI in the field of plant phenomics also included in this chapter. The probable use of geographic information system(GIS) and remote sensing coupled with AI are discussed in this chapter. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Book chapter |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Not Available |
Volume No.: | Not Available |
Page Number: | 441-457 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | https://doi.org/10.1007/978-981-19-7498-4_21 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/77720 |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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Chapter 21_Marwaha.pdf | 495.24 kB | Adobe PDF | View/Open |
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