NDLI: Agricultural modernization with forecasting stages and machine learning

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Agricultural modernization with forecasting stages and machine learning

Content Provider	Scilit
Author	Awasthi, A. K. Garov, Arun Kumar
Copyright Year	2021
Description	Humans watched the natural phenomena and looked at the behavior of birds and animals. The procedure called “sortilege” or “cleromancy” includes anticipating the future from sticks, beans or different things drawn indiscriminately from an assortment. The information and data required to make formal forecasts are commonly an important component. Agriculture is the most peaceful and friendly activity for environment, and it is a very reliable and honest source of human livelihood. In developing countries, many people rely on agriculture for their livelihood. Raining seasons depend on the temperature and potential of evapotranspiration. In the world, some areas are better for the growth of the crops. According to the distance from Equator, different countries of the world have different seasons. Machine learning enables the system with the capability to automatically explore, enhance and improve according to different situations without being programmed. Machine learning is centered on the development of intelligent computer programs that can process the data and utilize. Book Name: Smart Agriculture
Related Links	https://content.taylorfrancis.com/books/download?dac=C2019-0-12567-0&isbn=9781003138884&format=googlePreviewPdf
Ending Page	80
Page Count	20
Starting Page	61
DOI	10.1201/b22627-5
Language	English
Publisher	Informa UK Limited
Publisher Date	2021-01-18
Access Restriction	Open
Subject Keyword	Book Name: Smart Agriculture Computer Science Interest Butter Machine Necessity Predominant Sapiens Anticipators Learning People
Content Type	Text
Resource Type	Chapter

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