| Author | Season | Extreme Events | Climatic Variable | Setting/ Location | crop type | Agriculture+/− |
| Batisani, N. | 4 | Drought | Precipitation | cities/villages | Maize, Sorghum | Decrease (cultivation area) |
| Bandara, J. S. | 4 | Temperature | Temperature, precipitation | farm land | Rice, Wheat, Cereal Grains | 2030 = rice = −4%-wheat = −11, cereal = −7% |
| Brizmohun R. | 4 | sea level rise, flooding | Temperature | urban/rural | Basmati Rice, Ration Rice | decrease |
| Brown, M. E. | winter | NR | Precipitation | urban/rural | Maize, Wheat, Rice | 20% of local market prices were affected by domestic weather disturbances in the short run, 9% by international price changes and 4% by both domestic weather disturbances and international price changes |
| Cai Y. | 4 | Flood | Precipitation, Temperature, CRP8.5 | NR | Rice, Wheat | decrease |
| Calzadilla, A. | NR | NR | Temperature Precipitation river flow, CO2 | NR | Rice, Wheat, Cereal grains, Sugarcane, Oil seeds, Vegetables-Fruits | 2020s = increasing global rain fed production 2050s = rain fed crop production declines due to heat stress, irrigated production declines in both periods. 2.3% decrease food production globally in 2050 scenario |
| Chen, B. | NR | NR | temperature, precipitation | 76 retail wholesale markets | Maize | NR |
| Calzadilla, A. | 4 | NR | temperature, precipitation, CO2 fertilization, surface water | Rural | Rice, Wheat, Sugarcane | −1.55% Decline |
| Chung, U. | May-August | heat wave, Drought | Precipitation, temperature | NR | Maize | Corn 2012 = 29% decrease Simulated scenarios 2050 = B1 = −38% A1B = −57% |