Validation of crop weather models for crop assessment arid yield prediction under Tanzania conditions
| dc.contributor.author | Kihupi, N. | |
| dc.contributor.author | Dihenga, B.O. | |
| dc.contributor.author | Ntella, P. M. | |
| dc.date.accessioned | 2017-12-18T06:15:13Z | |
| dc.date.available | 2017-12-18T06:15:13Z | |
| dc.date.issued | 2000 | |
| dc.description | Tanzania Journal of Agricultural Sciences 2000, Vol. 392) : 129-136 | en_US |
| dc.description.abstract | Information gatheringfor early warning and crop assessment in Tanzania is based on physical inspection of standing crop in sample jields. This process is subject to human error, inadequate and is also time consuming. Recent developments in computer simulation have paved the way for more efficient methods of analysing datafor purposes of early warning and crop assessment. Two such sch~mes based on soil water balance simulation, viz. IRSIS and CRPSM models were used in this study fo see how closeZv they could predict grain yieldsfor selected stations in Tanzania. Inputfor the models comprised of weather, crop and soil data collected from jive selected stations. Simulation results show that IRSIS model tends to over predict grain yields of maize, sorghum and wheat, a fact that could be attributed to the inadequacy of the model to accurately account for rainfall excess. On the other hand, the CRPSA1 model simulated results were not significantZv different (P>O. 05) from the actual grain yields ojmaize, sorghum,. wheat and beans. Although the agreement between actual and simulated yield data was good, it was observed that mean valuesfor predicted grain yields were consistently lower thanfor actual grain yields. This could be attributed to the use of approximate rather than location specific input parameters required by the CRPSM model. Locally calibrated input parameters in the CRPSM model could filrther improve the accuracy of the model and hence its ability to predict grain yields. | en_US |
| dc.identifier.issn | 0856 668X | |
| dc.identifier.uri | https://www.suaire.sua.ac.tz/handle/123456789/1918 | |
| dc.language.iso | en | en_US |
| dc.subject | Soil water balance | en_US |
| dc.subject | Simulation model | en_US |
| dc.subject | Crop assessment | en_US |
| dc.subject | Yield prediction | en_US |
| dc.title | Validation of crop weather models for crop assessment arid yield prediction under Tanzania conditions | en_US |
| dc.title.alternative | Validation of Validation of crop weather models for crop assessment arid yield prediction under Tanzania conditions | en_US |
| dc.type | Article | en_US |