Data Driven Mathematical Modeling in Agriculture: Tools and Technologies (River Publishers Series in Mathematical, Statistical and Computational Modelling for Engineering)
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Outcomes from the count data analysis of a random sample of various farm operators show that various aspects, including farm dimension, farmer demographics, soil texture, urban impacts, farmer position of liabilities, and position of the farm in a state, were significantly associated with the approval severity and likelihood of precision farming technologies. Technical topics discussed in the book include:Precision agricultureMachine learningWireless sensor networksIoTDeep learning.
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£27.18
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