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By:

Parashram Patil

14 January 2026 at 8:49:45 pm

The Winged Bio-Shield

The Indian swiftlet could help Konkan farmers reduce chemical costs, restore biodiversity and build a regenerative agricultural economy. The global agricultural matrix faces a dual crisis: escalating input costs and diminishing ecological returns driven by over-reliance on chemical interventions. In Maharashtra’s Konkan coastal belt, home to high-value horticultural assets such as the Alphonso mango (Hapus), cashew and coconut, this crisis demands a structural shift towards low-input,...

The Winged Bio-Shield

The Indian swiftlet could help Konkan farmers reduce chemical costs, restore biodiversity and build a regenerative agricultural economy. The global agricultural matrix faces a dual crisis: escalating input costs and diminishing ecological returns driven by over-reliance on chemical interventions. In Maharashtra’s Konkan coastal belt, home to high-value horticultural assets such as the Alphonso mango (Hapus), cashew and coconut, this crisis demands a structural shift towards low-input, high-efficiency biological systems. One promising approach is to integrate the Indian swiftlet (Aerodramus unicolor), a specialised insectivore, into agricultural pest management. By aligning its ecological behaviour with the principles of Natural Farming (Bhartiya Prakritik Krishi Paddhati), Konkan could reduce production costs, strengthen biodiversity conservation and build a regenerative agricultural economy. Konkan is a vital contributor to Maharashtra’s agrarian economy, but its high-value crop ecosystems remain vulnerable to fluctuating weather patterns and sudden pest outbreaks. The conventional response has been increased chemical pesticide use, with mounting economic and ecological costs. Synthetic chemical inputs can account for a substantial share of seasonal expenditure, squeezing smallholders’ margins. Pesticide residues can also complicate compliance with stringent Maximum Residue Limit (MRL) standards in export markets, while indiscriminate spraying harms native pollinators and can compromise fruit-set ratios. Reversing this trajectory requires a shift from chemical dependency towards biological pest management and the ecosystem services nature provides. Biological Asset The Indian swiftlet represents a potentially valuable biological asset. Unlike terrestrial birds, its physiology is adapted to continuous, high-velocity aerial foraging. It spends much of the day on the wing, catching insects in flight and covering substantial distances in search of food. From an agronomic perspective, a breeding colony could function as a decentralised bio-shield. The source proposal estimates that an individual swiftlet may consume 3,000 to 5,000 insects daily. On that basis, a hypothetical cluster of 20,000 birds could consume 60 million to 100 million insects a day. These estimates require scientific validation, particularly to establish how much of the birds’ diet consists of agricultural pests. Nevertheless, the possibility of sustained aerial insect predation merits investigation, especially during periods when orchard pest populations threaten valuable crops. By targeting insects in flight, swiftlets could potentially complement other biological controls and help suppress certain pests before they reproduce. Their contribution would depend on local feeding patterns, pest species and the extent to which their foraging overlaps with vulnerable orchards. Integrating swiftlets into agricultural policy could strengthen Natural Farming by addressing a vulnerability of ground-based interventions. Practices such as Jeevamrut application and mulching help nurture soil health and root zones, but do not necessarily protect upper canopies from flying insects. The swiftlet could provide an aerial complement to these practices, creating a more comprehensive ecological defence system without relying exclusively on labour-intensive natural pest-control preparations such as Agniastra. For Konkan’s small and marginal farmers, profitability often depends on controlling input costs. Conventional mango and cashew cultivation can involve considerable expenditure on pesticides and spraying labour. A swiftlet-assisted system could reduce some of these costs if field trials demonstrate effective pest suppression. The potential gains extend beyond farm finances. Reduced chemical spraying could limit workers’ exposure to hazardous substances, lower labour requirements and reduce the risk of crop losses associated with pest outbreaks. However, the scale of these benefits must be established through comparative trials rather than assumed in advance.
Biodiversity Dividend The integration of swiftlet habitats could create an economic incentive to conserve the wider coastal ecosystem, transforming conservation from a perceived burden into a productive asset. Reducing indiscriminate pesticide use would help protect beneficial insects, including native honeybees and butterflies, which play important roles in pollination. The extent of their recovery would depend on broader changes in pesticide practices and habitat quality, but a less chemically intensive landscape would provide a stronger foundation for biodiversity. The same logic applies to Konkan’s devrais, or sacred groves, and fragmented forest patches. These landscapes support diverse ecological communities and provide important habitats. If farmers recognise surrounding forests as part of the natural infrastructure supporting their orchards, community-led conservation could acquire a stronger economic rationale. Reduced chemical contamination could also benefit other regional wildlife, including the Malabar pied hornbill. Maharashtra has a potential biological starting point in the Vengurla Rocks off the Sindhudurg coast, associated with significant Indian swiftlet populations. The next step would be to investigate whether carefully designed inland habitats could attract breeding populations and support agricultural pest management. Parts of Southeast Asia, particularly Malaysia and Indonesia, have developed specialised swiftlet houses modelled on natural caves. These structures, sometimes equipped with acoustic playbacks, attract birds for the commercial production of edible nests. A comparable model could offer rural communities a potential second source of income alongside horticulture. But the transferability of Southeast Asian practices to inland Konkan cannot be assumed. Local climate, habitat, colonisation rates, construction costs and the birds’ ecological requirements would all need careful assessment. The Indian swiftlet’s conservation status and the applicable provisions of the Wildlife (Protection) Act, 1972, must be examined before any capture, harvesting or commercial activity is considered. Conservation must remain central to any economic model. To explore this opportunity, Maharashtra could develop a Public-Private-Community Partnership involving the Forest Department, agricultural researchers and local farmers. Three priorities deserve attention. First, scientific research must establish the swiftlet’s diet, foraging patterns and actual impact on orchard pests. Second, pilot projects should compare conventional cultivation with swiftlet-assisted natural farming, measuring pesticide use, production costs, yields, fruit quality and biodiversity. Third, any proposed nesting structures or commercial activities must comply with wildlife laws. The institutional integration of the Indian swiftlet into Konkan’s agricultural framework offers a potentially valuable synthesis of ecological regeneration and farm economics. By treating the bird not merely as a protected wildlife species but also as a possible partner in biological pest management, Maharashtra could explore a new approach to sustainable horticulture. (The writer is a member of Maharashtra Agriculture Price Commission. Views personal.)

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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