Optimizing irrigation schedules boosts crop yield in Indonesian farming communities.
The goal of the study was to improve irrigation water management in the Krueng Jreu Irrigation Area in Indonesia by optimizing cropping patterns and schedules. Researchers used the K factor to simulate different cropping patterns and schedules, aiming for a K factor above 0.75. The best pattern identified was rice-rice-soybean with planting seasons in mid-July, mid-November, and mid-March. This schedule resulted in the highest frequency of K factors above 0.75, indicating efficient water use. Water was allocated to different canal groups based on the K factor values to ensure optimal irrigation network operation.