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By:

Rajendra Joshi

3 December 2024 at 9:20:26 am

Sugar industry strains as traders reap profits

Gap between ex-mill prices, retail rates raised questions Kolhapur: The Indian sugar industry is caught in a deepening crisis, with sugar mills struggling to secure remunerative prices for their produce even as traders and middlemen appear to be making substantial profits. While sugar mills are receiving between Rs 4,600 and Rs 4,800 per quintal through recent sale tenders, retail prices have remained as high as Rs 58 per kg. The widening gap between ex-mill prices and retail rates has...

Sugar industry strains as traders reap profits

Gap between ex-mill prices, retail rates raised questions Kolhapur: The Indian sugar industry is caught in a deepening crisis, with sugar mills struggling to secure remunerative prices for their produce even as traders and middlemen appear to be making substantial profits. While sugar mills are receiving between Rs 4,600 and Rs 4,800 per quintal through recent sale tenders, retail prices have remained as high as Rs 58 per kg. The widening gap between ex-mill prices and retail rates has raised serious questions about the role of intermediaries and the effectiveness of the Centre’s efforts to contain sugar prices. The margins available to traders and intermediaries have reportedly crossed 20 per cent, leaving sugar millers perplexed. At a time when both sugarcane growers and mill operators are under financial pressure, the trading chain appears to be benefiting disproportionately. The Centre must examine this growing disparity and take corrective measures to prevent speculative profiteering. Retail sugar prices began rising sharply in August, touching nearly Rs 70 per kg in some markets. The escalation added to inflationary pressures and caused concern among consumers, particularly ahead of the festive season. In response, the Centre introduced a series of measures to improve domestic availability and moderate prices. These included permitting duty-free sugar imports, initially until October 31, a deadline subsequently extended to December 31. The government also directed sugar mills to commence the crushing season from October 15 and tightened monitoring of sugar stocks. In another significant intervention, it modified the ethanol policy, restricting the diversion of sugarcane juice, sugar syrup and B-heavy molasses for ethanol production. Following these measures, sugar mills began witnessing a decline in the prices offered through their sale tenders. Recent transactions have fetched between Rs 4,600 and Rs 4,800 per quintal. Going by the conventional relationship between ex-mill prices and retail rates, sugar should ideally have been available to consumers at less than ₹50 per kg. However, retail prices continue to hover around Rs 58 per kg, pointing to a substantial disconnect between the mill gate and the consumer market. Traditionally, sugar retailing operated on relatively thin margins. Since sugar is an essential commodity, retailers often treated it as a low-margin product to attract customers who would subsequently purchase other household provisions. The margin was sometimes informally equated with the resale value of the empty 50-kg jute bags in which sugar was supplied. This was considered a nominal return for retailers. That traditional pricing mechanism, however, appears to have undergone a significant change. The widening gap between mill-level tender prices and retail rates has created considerable scope for intermediaries to extract higher margins. The critical question is whether the additional amount paid by consumers is reaching the sugar mills or remaining within the trading chain. The issue assumes particular significance in Maharashtra, where the sugarcane pricing dispute has intensified ahead of the new crushing season. Farmers’ organisations have been demanding a minimum price of Rs 5,500 per tonne for sugarcane. Millers, meanwhile, are preparing to agitate for a revision in the Fair and Remunerative Price (FRP) framework and the restoration of a more supportive ethanol policy. The Swabhimani Shetkari Sanghatana, led by Raju Shetti, has taken a firm position that sugar mills should not be allowed to commence operations until farmers receive an acceptable price for their cane. Shetti has also drawn the state government’s attention to the unusually high retail prices of sugar, questioning why consumers continue to pay more even as mills are forced to sell at relatively lower rates. The Centre’s sudden changes to the ethanol policy have further complicated the industry’s financial position. Ethanol production had emerged as an important revenue stream for sugar mills, enabling them to diversify operations, improve cash flows and enhance their capacity to pay farmers. Restrictions on the diversion of sugarcane-based raw materials have weakened this support at a critical juncture. The resulting contradiction is difficult to ignore: farmers are demanding better cane prices, millers are struggling with shrinking realisations and policy uncertainty, while intermediaries appear to be benefiting from the gap between wholesale and retail prices. The government cannot address the sugar crisis merely by regulating mill stocks, imports and ethanol diversion. It must also examine the entire supply chain, identify where the widening margins are accruing and ensure that the benefits of market interventions reach both sugarcane growers and consumers. With nearly Rs 2 lakh crore riding on the sugar economy, allowing intermediaries to thrive while the industry’s primary stakeholders struggle would be a serious policy failure.

AI in Sperm Sorting: An Unbiased Decision for A Better Outcome

Writer: Dr. Ramnath Babu T J
Dr. Ramnath Babu T J
Nov 7, 2024
3 min read

Artificial Intelligence or AI is revolutionising fertility treatments of the future. The inclusion of AI enhances the accuracy, efficiency, and objectivity of sperm selection, hence potentially improving fertility outcomes by leaps and bounds. Traditionally, sperm sorting through manual methods is subjective to judgments. Processes like centrifugation and swim-up methods are used to separate sperm based on motility and morphology. Although they are effective, they have their limitations, leading to human errors that affect the success rates of fertility treatment. For instance, studies have shown that traditional sperm sorting techniques can have variability in success rates, with reported live birth rates ranging between 15 per cent to 25 per cent per cycle depending on the method and quality of sperm. Hence the introduction of AI helps in maintaining consistency in evaluations of sperm, using the same data set for every sample which leads to better judgments.


Automation and Standardisation- Automation of sperm selection and also introduction of AI in the process have improved the results in ART. AI-assisted sperm selection improves the accuracy in choosing high-quality sperm for fertilisation purposes, and also, pregnancy and live birth rates might be improved. Technologies like Intracytoplasmic Morphologically Selected Sperm Injection along with AI ensure the chances of pregnancies increase by about 10-20 per cent compared to the standard procedures. AI and Automation will decrease time taken to analyze sperm and increase opportunities to select better sperm with DNA integrity for better development and higher success rates in embryo selection. These processes ensure that the sperm selection process follows consistent criteria, reducing variability in outcomes caused by human error.


Analysing Complex Data for Better Outcomes- AI plays a crucial in improving IVF outcomes by analysing complex data and providing tailored recommendations. AI-driven tools and models such as those on SpOvum.ai point towards an opportunity to optimise ovarian stimulation decisions by assessing patient characteristics and follicle growth patterns. A study revealed that the use of AI in IVF improved egg yield and reduced medication costs. AI enables fertility specialists to make data-driven choices, improving overall IVF success rates and streamlining treatment processes.


Reducing Human Error- AI models can continuously learn and refine their performance by being trained on newer data. This adaptability ensures the technology remains unbiased and up-to-date with the latest scientific insights into sperm quality and fertility success rates. Studies have shown that AI-driven sperm sorting can decrease human-related errors by up to 25 per cent, improving sperm selection quality in terms of morphology and motility.


Reduction of Sperm Damage- The new AI-driven sperm sorting techniques also include microfluidic systems that are known to exhibit several advantages over the most commonly used conventional method, which is centrifugation. Traditional centrifugation methods, such as density gradient centrifugation, also cause severe oxidative stress and DNA fragmentation of the sperm because of the very high mechanical forces involved. The AI-infused microfluidic sorting minimises this damage significantly by involving gentler processes that mimic the natural pathway of sperm selection. The studies show that the process of microfluidic sorting decreases DNA fragmentation in sperm, which gives improved opportunities for success for IVF. For example, DNA fragmentation is 20 percent lower in sperm sorted using microfluidic processes than in traditional processing methods.


AI is bound to play an increasingly definitive role in fertility treatments, which will improve the outcomes for couples experiencing infertility.


(The author is a Co-Founder & CEO at SpOvum® Technologies. Views personal.)

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