Table 3 Part 2: 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
References | Algorithm | Plant | Data type | Data pre/processing | Other parameters | Predictor variables |
|---|---|---|---|---|---|---|
[152] | CNN, LSTM Gaussian | Soybean | Sensor MODIS data | Transform multi-spectral images to individual histograms | / | Histogramsgeographic location year |
[62] | Regression Rulequest Cubist | Corn, soybean | Satellite data | 8-days periods data-points composed then averaged | Pre and within season | NDVI, precipitation day and night land surface temperature |
[67] | DT (Extremely randomised) SVM(RBF);DNN | Corn | Satellite images climate, yield | / | Seasonal sensitivities | NDVI and many other features |
[27] | Deep learning semi-parametric NN for training: bayesian hyper-parameter optimisation and early stopping | Corn | Historical yield weather | / | Climate change impact and semi-parametric prediction model | Precipitation temperature humidity, wind radiation Latitude and longitude Growing degree, soil County, irrigation |
[68] | DNN; ANN; RF; multivariate adaptive regression splines SVM; extremely randomised trees | Corn and soybean | Satellite images MODIS historical yield meteorological and crop landhydrological | / | Effect of phenology | EVI Leaf Area Index Gross Primary Production precipitation; min, max air temperature soil Moisture, NDVI |
[50] | SVM | Rice | Climate and geographical data | / | Effect of phenology and climate pre-season | Mean, max, mintemperature Daily Sunshine hours precipitation mean relative humidity min relative humidity mean wind speed maximum wind speed |
[60] | LR | Corn | MODIS remote sensing | Savitzky-Golay filter for smoothing NDVI time series | Effect of phenology | Max correlation NDVI crop growth rate crop growth days |
[111] | RF | Chickpea | Modis images weather data yield statistics remote sensing | / | Drylands sensitivity to data time | EVI, NDVI, Leaf Area Index precipitation and 5 other features |
[4] | Bidirectional LSTM | Tomato, Potato | Climate datairrigation scheduling soil water content | Moving average method for data imputation multi-collinear parametersremoval | Effect of irrigation scheduling | Min, max, mean temperature min, max, average relative humidity average solar radiation min and average wind speed precipitation |
[91] | 3D-CNN | Wheat, Barley, Oats | Weather data UAV RGB image yield data | Images resizing | Effects of time:efficiency of using time series data vs point-in-time data | RGB Images, cumulative temperature |
[19] | LSTM | Winter, wheat | Climate satellite data soil surveys | / | / | Min and max temperatureprecipitation, EVI, soil depth and texture, pH geographic properties |