Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Uamuzi wa Tarehe ya Kupanda× | Upangaji wa Unyunyizaji Maji kwa kutumia ETo× | |
|---|---|---|
| Nyanja | Agronomia | Agronomia |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 2006 | 1998 |
| Mwanzilishi≠ | P. K. Aggarwal, N. Kalra, IARI India | Richard G. Allen, Luis S. Pereira, FAO |
| Aina≠ | Decision support pipeline | Water balance pipeline |
| Chanzo asilia≠ | Aggarwal, P. K., Kalra, N., Chander, S., & Pathak, H. (2006). InfoCrop: A decision support system for crop planning and resource management at farm level. Agricultural Systems, 88(1), 56-77. link ↗ | Allen, R. G., Pereira, L. S., Raes, D., Smith, M., & Higgins, R. B. (1998). Crop evapotranspiration: Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56, Rome. link ↗ |
| Majina mbadala | Planting date optimization, Sowing time selection, Phenological timing | ETo-based irrigation, Water balance scheduling, Evapotranspiration scheduling |
| Zinazohusiana | 5 | 5 |
| Muhtasari≠ | Sowing Date Optimization is a decision support pipeline for determining optimal crop planting dates that align phenological development with favorable environmental windows, maximizing yield and reducing climate risk. Developed by crop modelers (Aggarwal, Semenov) in the 2000s, this method combines crop simulation, climate data, and risk analysis to identify safe, profitable sowing windows. | Irrigation Scheduling with ETo is a water balance pipeline for determining when and how much to irrigate based on reference evapotranspiration (ETo), soil properties, and crop water demand. Standardized by the FAO in the Penman-Monteith equation and widely adopted globally, this method enables efficient water use in irrigated agriculture. |
| ScholarGateSeti ya data ↗ |
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