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Crop prediction using machine learning
Madhuri Shripathi Rao
, Arushi Singh
, N. V.Subba Reddy
,
Dinesh U. Acharya
School of Computer Engineering
Research output
:
Contribution to journal
›
Conference article
›
peer-review
85
Citations (Scopus)
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INIS
accuracy
20%
agriculture
40%
algorithms
20%
climatic change
20%
crops
100%
decision tree analysis
20%
developing countries
20%
emission
20%
entropy
20%
erosion
20%
fertilizers
20%
forests
40%
growth
20%
industry
20%
machine learning
100%
minerals
20%
nitrogen
20%
nutrients
40%
phosphorus
20%
planets
20%
potassium
20%
prediction
100%
randomness
40%
shortages
20%
soils
60%
Engineering
Climatic Change
50%
Climatic Condition
50%
Developing Country
50%
Erosion
50%
Learning System
100%
Nearest Neighbor
50%
Random Forest
100%
Agricultural and Biological Sciences
Crop Year
100%
Face
100%
Nutrient Deficiencies
100%
Soil Erosion
100%
Material Science
Potassium
100%