Fertilizer Optimization
Leaf- and soil-driven nutrient programme per block · AI vs current standard programmeAll operations
Recommendations are decision-support outputs, not automated agronomic instructions. Rates must be validated by the estate agronomist against field conditions and company fertilizer policy before any application. Synthetic data.
Current programme cost
Rp 11.02 bn
50 AI-monitored blocks / yr
AI programme cost
Rp 10.33 bn
30 blocks reduced · 20 increased
Fertilizer savings
Rp 694 m
6.3% of spend
Yield value recovered
Rp 600 m
from correcting leaf deficiencies
Model inputs
Pre-filled from the latest lab results · editable
Soil test
Leaf analysis (frond 17)
Red = below critical (N 2.5%, P 0.15%, K 1%, Mg 0.24%, B 15ppm)
Recommended programme — Block B17
kg product per palm per year · current standard vs AI programme
Confidence81%
Cost / palm / yr
Rp 62,310
current Rp 47,630
Block cost change
+Rp 56 m
3,819 palms / yr
Expected yield effect
+1.62 t/ha
≈ Rp 133 m FFB value / yr
Net benefit
+Rp 77 m
yield value minus extra fertilizer
| Nutrient | Product | Current | AI | Change | Reason |
|---|---|---|---|---|---|
| N | Urea 46% N | 2.00 | 2.55 | +0.55 | Maintenance dose matched to yield target |
| P | Rock phosphate | 1.25 | 1.25 | — | Maintenance dose matched to yield target |
| K | MOP (KCl) | 2.50 | 3.75 | +1.25 | Leaf K 19% below critical — corrective dose |
| Mg | Kieserite | 1.00 | 0.80 | −0.20 | Leaf Mg 25% above critical — reduce, no yield response expected |
| B | Borate 48 | 0.08 | 0.12 | +0.04 | Leaf B 25% below critical — corrective dose |
AI Agronomist
Confidence81%B17 leaf K (0.81%) and B (11.2 ppm) are well below critical after the Q3 round was applied 5 weeks late during a 34% rainfall deficit. The model raises MOP to the upper bound and adds borate, while holding P. Split the K dose into two applications once soil moisture recovers above 0.25 to limit losses.
Estimated impact based on synthetic scenario assumptions.