เปรียบเทียบวิธี

	การหาค่าเหมาะสมที่สุดของวันเพาะปลูก	การประมาณผลผลิตพืช
สาขาวิชา	พืชไร่	พืชไร่
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	2006	2015
ผู้ริเริ่ม	P. K. Aggarwal, N. Kalra, IARI India	Agronomic research institutions (CIMMYT, ICRISAT, IRRI)
ประเภท	Decision support pipeline	Analytical and predictive pipeline
แหล่งต้นตำรับ	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.	Lobell, D. B., Thau, D., Seifert, C., Engle, E., & Shadow, B. (2015). A regional crop yield forecasting system for Sub-Saharan Africa. Global Food Security, 5, 6-15.
ชื่อเรียกอื่น	Planting date optimization, Sowing time selection, Phenological timing	Yield forecasting, Harvest prediction, Yield monitoring
ที่เกี่ยวข้อง	5	5
สรุป	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.	Crop Yield Estimation is an analytical and predictive pipeline for forecasting final crop yield before harvest or monitoring yield accumulation during the growing season. Developed by agronomic research centers (CIMMYT, ICRISAT, IRRI), this method combines field observations, environmental data, and statistical models to predict grain or biomass output, informing harvest planning, market decisions, and performance evaluation.