India’s edible oil import bill remains one of the most persistent structural pressures on its agricultural trade balance. Policy initiatives have appropriately focused on expanding oil palm acreage under national missions. But the next breakthrough won’t come from hectares alone. This will come from precision.
In palm oil economics, a fraction of a percentage point can make all the difference. That fraction is called oil extraction rate (OER) – the percentage of oil obtained from fresh fruit bunches (FFB). Artificial Intelligence (AI) may be the most powerful lever India has to improve this.
For policymakers, processors, agritech developers and state governments, the opportunity is immediate – boost OER through AI-powered precision harvesting and circular processing systems and unlock higher farmer incomes without expanding landholdings.
Economics of 0.7 percent
In most industries, a 0.5 percent change barely moves the needle. In palm oil, this could redefine profitability. Farmer remuneration for FFB in India is linked to a formula where OER plays a decisive role. When OER increases – farmers get better prices, mills produce more crude palm oil (CPO) from the same raw material and national oil production increases without acreage expansion.
Data presented at the 25th National Symposium on Plantation Crops (PLACROSYM) highlights the scale of impact. An improvement of about 0.7 per cent in OER could generate about 3,500 additional tonnes of CPO annually in a mill processing 5 lakh tonnes of FFB. That incremental oil is equivalent to production from substantial additional plantations – without new land, water or fertilizer.
For a country striving towards edible oil self-sufficiency, this is not marginal efficiency. This is strategic leverage.
where the oil is really lost
The palm oil industry often repeats a simple truth: “Oil is produced in the field, not in the mill.” Traditional harvesting depends largely on human judgment to determine the maturity of fruits. Workers rely on visual cues and loose fruit indicators. Variability in skill and timing results in: under-ripe harvesting (low oil yield), over-ripe harvesting (loss of loose fruits), inconsistent harvesting intervals and fluctuations in oil quality. Once the underripe flakes are cut away, the oil potential lost in the mill cannot be recovered. If India is serious about increasing productivity, crop accuracy must improve.
AI and 3D precision – a field-level revolution
Emerging AI-enabled mechanization systems offer a different model, new technologies under development globally include 360-degree trunk-mounted robotic clamps, 3D canopy scanning, AI-based maturity prediction, non-destructive infrared spectroscopy to assess internal maturity and integrated frond pruning systems.
Rather than relying on subjective evaluation, these systems use data to determine the optimal harvest window – when oil accumulation in the bunch is at its peak. Potential benefits are 0.5-0.7 per cent OER improvement, reduction in loose fruit losses, better harvest schedule, labor dependability and consistent oil quality.
For the processor, this means better extraction efficiency. For farmers, higher OER directly translates into better price realization. This alignment creates a true win-win ecosystem.
Beyond harvesting: regeneration meets technology
Mechanization becomes even more powerful when integrated with regenerative farming practices. Research referenced in PLACROSYM and supported by findings published in Nature Sustainability (June 2023) shows that maintaining frond cover with mulching and adopting mechanical weeding (instead of herbicide use) can increase yields by 12% due to improved ground cover effects and soil health. The benefits go beyond yield – better soil moisture retention, reduced runoff and erosion, less fertilizer leaching and improved ecosystem functionality.
Mechanization enables easier fertilizer delivery, intercropping and livestock integration – creating diverse income sources for farmers. In climate-sensitive agricultural landscapes, such integration strengthens resilience while increasing productivity.
circular mill opportunity
Efficiency does not end in the field. The mills have significant untapped potential such as methane capture from palm oil mill effluent (POME) for power generation, captive co-generation using fiber biomass and enzyme-based bio-catalysts to improve extraction efficiency. Commercial evaluation, including insights from the Sime Darby Sustainability Report (2019), indicate that enzyme application alone could increase OER by approximately 0.7 percent.
Biomass such as empty fruit bunches (EFB) can be converted into compost, bio-CNG, or industrial feedstock – converting waste into revenue. India produces about 650 million tonnes of crop residues annually (NITI Aayog, 2023). Circular oil palm systems offer a scalable pathway to reduce residue burning while generating green energy. In fact, oil palm processing could evolve into a closed-loop bioeconomy model.
Andhra Pradesh and Telangana – Natural AI Pilot
Among Indian states, Andhra Pradesh and Telangana have demonstrated relatively high OER levels and have established mill infrastructure. These states are ideally placed for AI-powered precision harvesting on a large scale. A successful demonstration cluster here could boost farmer confidence, accelerate area expansion, improve mill utilization and strengthen India’s import substitution strategy. If proven viable, the model could be replicated nationally.
policy imperative
To move from concept to scale, coordinated action is needed, e.g., induction of AI-enabled harvesting pilots under the National Oil Palm Mission by the Government of India, setting up mechanization clusters and custom hiring centers to make the technology accessible to smallholders by state agriculture and horticulture departments, designing cost-effective, robust systems suited to Indian plantation conditions by agri-tech developers, field-level trials by processors and corporate players, and circular mill retrofits. Investing in and developing innovative financing models to help overcome capital expenditure constraints. Of financial institutions.
Without a viable economic model, even better technology will struggle to scale.
a strategic shift
India’s palm oil story must now shift from expansion-driven growth to efficiency-driven growth. The country doesn’t just need more hectares; It needs better hectares.
A 0.7 per cent improvement in OER in many mills could translate into thousands of tonnes of additional domestic edible oil without ecological spillover. In a sector where margins are tight and dependence on imports is high, such efficiency gains are strategic assets.
Artificial intelligence in palm oil is not a futuristic experiment. It is a practical economic instrument. In palm oil, yield brings volume but OER brings profitability.
If India integrates AI, regenerative agriculture and circular processing into an integrated strategy, it can transform palm oil into a model of productivity, sustainability and farmer prosperity. The opportunity exists. Technology is emerging. The decision is now up to policy makers and industry leaders.
(The author is former CEO- Oil Palm Plantations, Godrej Agrovet Ltd., and Consultant- Palm Oil Production and Plantation Development, Calcutta, West Bengal. Views are personal.)
Published March 1, 2026
