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Table 6 Comparison between four crop yield forecasting systems: CGMS-Maroc, CropWatch, USDA–FAS, and FASAL systems

From: Modeling genotype × environment × management interactions for a sustainable intensification under rainfed wheat cropping system in Morocco

 

CGMS-Maroc

CropWatch

USDA-FAS (Crop explorer)

FASAL

References

[9]

[159]

[146]

[105]

Modeling approach

Empirical models (multiple regression, machine learning and similarity analysis)

Empirical models (multiple regression and similarity analysis)

Empirical and mechanistic models

Crop

Cereal crops

Cereal crops and soybean

Cereal crops, soybean, cotton, etc

Cereal crops, cotton, sugarcane, rapeseed, mustard, etc

Mission

- Yield forecasting

- Monitoring crop growth and climate indicators

- Monitoring agro-climatic indicators,

- Crop mapping

- Yield forecasting,

- Analysis of phyto-sanitary conditions

- Monitoring crop, soil, and climate indicators,

- Crop mapping,

- Yield forecasting,

-Drought risk assessment

Monitoring crop growth and development indicators,

- Crop mapping,

- Yield forecasting,

-Water balance

Yield predictors

Meteorological input parameters

-Gridded data sets from ground stations: temperatures, rainfall, evapo-transpiration

Satellite-based: temperatures, rainfall, photosynthetically active radiation, and land surface temperature

 + Snow coverage in Crop Explorer

-Station-based: temperatures and rainfall

-Satellite-based: insolation and land surface temperature

Other remote sensing products

Vegetation indices (NDVI, LAI, FAPAR, FCOVER), rainfall estimates

Vegetation indices (NDVI, LAI etc.) + Soil moisture

Auxiliary parameters

Land cover map, crop calendar

Systems use some common auxiliary parameters: crop type (or land cover maps), crop calendar, crop development scales, soil information, DEM, etc

Systems’ scales

- Administrative level,

- National level

- Administrative level,

- National level,

- Global level

- Administrative level,

- National level

Schedule to release system findings

Every 10 days, during the growing season

Quarterly (every 4 months) and annually

Monthly and numerous parameter maps and charts updated every 10 days

Depends on crop species. Overall, in early season, mid-season, and pre-harvest

Area covered by

the system

Morocco

- Global for Agro-climatology,

- Crop production and yield estimation for 31 countries

Global

India

  1. FPAR fraction of photosynthetically active radiation, DEM digital elevation model