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Table 2 Part 1: an analytical study on examples of crop prediction methods; highlights: the applied learning algorithms, the crop type, data type and pre-processing, the other studied and considered parameters in each proposed approach and the predictor variables for each used algorithm

From: Data analytics for crop management: a big data view

References

Algorithm

Plant

Data type

Data pre-processing

Other parameters

Predictor variables

[46]

KNN, MLP, SVR regression trees

Pepper, bean chickpea, corn potato, tomatoMexican husk tomato

Historical yield climateirrigation plans

/

/

Planting area min, max and avg temperature precipitation, irrigation solor radiation

[51]

RF

Groundnut millet

Historicalyield

KNN for dataimputation

/

Sunlight, humidity precipitation min, max, avg temperature

[54]

SVM, RF Gaussian process regression

Winter wheat

Remote sensing climate, soil yield,crop map

Google earth engine (GEE)

Regional differences of yieldvariable importance

Min, max temperature NDVI, EVI palmer drought severity index, precipitation soil: moisture, physical and chemical properties

[121]

LSTM

Soybean

Satellite imageswheather and historicalyield

GEE

/

NDVI, EVI, land surface and air temperature precipitation

[120]

RF

Corn, soybean

Historical yield satellite remote sensors ancillary and environment

/

/

Dynamic ranged vegetation index (WDRVI), temperature precipitation, soil moisture shortwave radiation statistics related to county-level irrigated harvested cropland

[83]

DNN

Soybean

Multi remote sensing data

Pix4D mapper softwrare: UAl RGB, multi spectral andTIR imagesconversion of radiometric value

/

25 features: canopy spectral structure, thermal and texture features NIR, NDVI, WDRVI, EVI

[1]

SVR

Potato

proximal sensing (soil and crop properties) yield data

Effects of data-set size on accuracy

/

Soil electrical conductivity soil moisture, soil slope, soil chemistryNDVI

[65]

SVR

Wheat

Satellite images climate and yield records and maps

KNN

/

NDVI, precipitation max temperature

[40]

RF

Wheat, barley canola

Yield, soil, climate remote sensing Geo-physical data

/

Pre-sowing mid and late season

Soil maps, surveys rainfull, NDVI

[42]

RF

Mango

Irrigation, historical yield

/

Different irrigation regimes

/

[34]

ANN

Tomato

Historical data

/

Water monitoring different radiations values

CO2, day, water radiation, temperature

[97]

RNN

Soybean maize

Multi sources: satellite, soil properties

/

Pre-season yield

Min and max temperature precipitation soil, pH and other 10 features

[59]

RF

Wheat, maize potato

Multi sources: climate, soil photo-period water, yields fertilisation

/

Climate and biophysical variables at global and regional scales

Many features on climate and soil and nitrogen fertiliser

[73]

ELM

Robusta coffee

Soil components

/

Soil fertility

Exchangeable calcium boron, magnesium and nitrogen, PH

Zinc potassium, sulphur phosphorus

[102]

ANN supervised kohonen counter propagation XY-fusion

Wheat

Multi-spectral satellite data

Orthorectification in-band reflectance calibration

Physico-chemical soil parameters

NDVI

[114]

non-linear regression

Cabbage

Sensor data

/

Nitrogen variation

NDVI