Agriculture Data Analytics in Crop Yield Estimation: A Critical Review
| Autor: | B.M. Sagar, Cauvery N K |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Control and Optimization
Computer Networks and Communications Big data Population Agricultural engineering 01 natural sciences Smart farming 0103 physical sciences Production (economics) Crop yield Electrical and Electronic Engineering education Productivity education.field_of_study 010308 nuclear & particles physics business.industry Sowing 04 agricultural and veterinary sciences Work (electrical) Hardware and Architecture Agriculture Data analytics Signal Processing 040103 agronomy & agriculture Agriculture data 0401 agriculture forestry and fisheries Business Prediction Information Systems |
| Zdroj: | Indonesian Journal of Electrical Engineering and Computer Science. 12:1087 |
| ISSN: | 2502-4760 2502-4752 |
| DOI: | 10.11591/ijeecs.v12.i3.pp1087-1093 |
| Popis: | Agriculture is important for human survival because it serves the basic need. A well-known fact that the majority of population (≥55%) in India is into agriculture. Due to variations in climatic conditions, there exist bottlenecks for increasing the crop production in India. It has become challenging task to achieve desired targets in Agri based crop yield. Factors like climate, geographical conditions, economic and political conditions are to be considered which have direct impact on the production, productivity of the crops. Crop yield prediction is one of the important factors in agriculture practices. Farmers need information regarding crop yield before sowing seeds in their fields to achieve enhanced crop yield. The use of technology in agriculture has increased in recent year and data analytics is one such trend that has penetrated into the agriculture field being used for management of crop yield and monitoring crop health. The recent trends in the domain of agriculture have made the people to understand the significance of Big data. The main challenge using big data in agriculture is identification of impact and effectiveness of big data analytics. Efforts are going on to understand how big data analytics can be used to improve the productivity in agricultural practices. The analysis of data related to agriculture helps in crop yield prediction, crop health monitoring and other such related activities. In literature, there exist several studies related to the use of data analytics in the agriculture domain. The present study gives insights on various data analytics methods applied to crop yield prediction. The work also signifies the important lacunae points’ in the proposed area of research. |
| Databáze: | OpenAIRE |
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