Machine Learning In Agriculture - A review

If we as species are going to survive, farming is the humanity's very foundation we must adapt. Technology is changing the way we do farming, not with least powerful computers but computers powered with Machine Learning Algorithms. ML provides knowledge to farmers in the form of Crop Management, Soil health and Weather facts. This technology enhances crop production yields by a lot to guide farmers with decisions on when and where farming choices are made, including what to plant, how much water we have to use for irrigation and effective pest control. ML increases output not by just using resources well and cutting waste, it also helps in convenience for farming to last more so that we can find enough what we eat to feed millions in a healthy manner.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-13
DOI
https://doi.org/10.5281/zenodo.13925369
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

Machine Learning In Agriculture - A review

Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

Machine Learning In Agriculture - A review

article en

Abstract

If we as species are going to survive, farming is the humanity's very foundation we must adapt. Technology is changing the way we do farming, not with least powerful computers but computers powered with Machine Learning Algorithms. ML provides knowledge to farmers in the form of Crop Management, Soil health and Weather facts. This technology enhances crop production yields by a lot to guide farmers with decisions on when and where farming choices are made, including what to plant, how much water we have to use for irrigation and effective pest control. ML increases output not by just using resources well and cutting waste, it also helps in convenience for farming to last more so that we can find enough what we eat to feed millions in a healthy manner.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 81%
Smart Agriculture and AI
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Machine Learning In Agriculture - A review · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS