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Optimasi Tarikh Penuai×Pemerhatian Fenologi×
BidangAgronomiAgronomi
KeluargaProcess / pipelineProcess / pipeline
Tahun asal20061974
PengasasP. K. Aggarwal, N. Kalra, IARI IndiaZadoks, Chang, Konzak (cereals); Fehr, Caviness (soybean)
JenisDecision support pipelineObservational and classification pipeline
Sumber perintisAggarwal, 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 ↗Zadoks, J. C., Chang, T. T., & Konzak, C. F. (1974). A decimal code for the growth stages of cereals. Weed research, 14(6), 415-421. DOI ↗
AliasPlanting date optimization, Sowing time selection, Phenological timingGrowth stage assessment, Phenological monitoring, Crop stage scale
Berkaitan55
RingkasanSowing 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.Phenological Observation is an observational and classification pipeline for systematically recording crop development stages from germination to maturity. Standardized through crop-specific scales (Zadoks for cereals, Fehr for soybean), this method enables precise communication of crop status, timing of management decisions (fungicide application, irrigation), and prediction of harvest readiness.
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ScholarGateBandingkan kaedah: Sowing Date Optimization · Phenological Observation. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare