An Interpretable Artificial Intelligence Based Smart Agriculture System

Author:

Sabrina Fariza,Sohail Shaleeza,Farid Farnaz,Jahan Sayka,Ahamed Farhad,Gordon Steven

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Reference39 articles.

1. FAO, “The state of food and agriculture 2016,” [Online]. Available: http://www.fao.org/3/a-i6030e.pdf, 2016.

2. E. Technologies, “What is smart farming—everything you want to know about it,” [Online]. Available: https://medium.com/@emorphis.technologies/what-is-smart-farming-everything-you-want-to-know-about-it-28e0e5d8e142, 2019.

3. FAO, “The state of food and agriculture 2020. overcoming water challenges in agriculture. Rome,” [Online]. Available: https://doi.org/10.4060/cb1447en, 2020.

4. Low power cost effective automatic irrigation system;Nallani;Indian Journal of Science and Technology,2015

5. Classification of arid lands, including soil degradation and irrigated areas, based on vegetation and aridity indices;Gamo;International Journal of Remote Sensing,2013

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