Digital Technology in Agriculture: An Approach to Modelling Crop Productivity on Trace Elements Contaminated Soil
Author:
Affiliation:
1. Institute of Information and Computing Technologies,Ministry of Science and Higher Education,Almaty,Kazakhstan
2. International Information Technology University,Almaty,Kazakhstan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10223476/10223462/10223574.pdf?arnumber=10223574
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1. Ecosystem services and tradeoffs in the home food gardens of African American, Chinese-origin and Mexican-origin households in Chicago, IL
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3. The modelled productivity of Miscanthus×giganteus (GREEF et DEU) in Ireland
4. Mathematical Modeling for Estimating the Risk of Rice Farmers’ Losses Due to Weather Changes
5. Applications of Machine Learning Techniques in Agricultural Crop Production: A Review Paper;subhadra;Indian Journal of Science and Technology India,2016
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