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By:

Commodore S.L. Deshmukh

31 October 2024 at 8:30:19 am

The Beam That Blinds the Drone

As cheap drones reshape the battlefield, India’s T-SHUL BEAM points to a future in which electronic warfare may matter as much as firepower The drone has definitively become the weapon of choice for the modern battlefield. Cheap, expendable and increasingly autonomous, unmanned aerial vehicles can now threaten troops, armour, airfields and critical infrastructure without requiring the attacker to risk a pilot. Their proliferation has created a corresponding demand for counter-drone systems...

The Beam That Blinds the Drone

As cheap drones reshape the battlefield, India’s T-SHUL BEAM points to a future in which electronic warfare may matter as much as firepower The drone has definitively become the weapon of choice for the modern battlefield. Cheap, expendable and increasingly autonomous, unmanned aerial vehicles can now threaten troops, armour, airfields and critical infrastructure without requiring the attacker to risk a pilot. Their proliferation has created a corresponding demand for counter-drone systems that can respond quickly and at a cost proportionate to the threat. This is where beam-based anti-drone technology enters the picture. Broadly, such systems fall into two categories. Hard-kill systems use concentrated laser energy to physically damage or destroy a drone. Soft-kill systems, by contrast, use radio-frequency or electromagnetic energy to disrupt the electronic links that allow a drone to communicate, navigate and transmit information. Sophisticated Weaponry Hard-kill laser systems focus an intense beam of light on a vulnerable part of an incoming UAV - its carbon-fibre structure, control surfaces, battery or other critical components. The concentrated energy rapidly heats the target, potentially burning through its structure or disabling optical sensors and bringing the aircraft down. India’s DRDO has demonstrated a 30kW laser system, while Israel’s Rafael has developed the Lite Beam system. Soft-kill systems take a different route. Rather than physically destroying the aircraft, they interfere with the electronic architecture that keeps it airborne. Directional radio-frequency energy can disrupt command-and-control links, video feeds, telemetry and satellite-navigation signals such as GPS or other GNSS services. Depending on the drone and the nature of the disruption, the aircraft may be forced to land, return to its launch point or lose control. It is in this category that the T-SHUL BEAM system developed by Indian defence company IG Defence deserves attention. T-SHUL BEAM is a man-portable, directional counter-drone system designed for tactical deployment. Its multi-band radio-frequency architecture is intended to target several of the links on which unmanned aerial systems depend, including command-and-control, telemetry, video transmission and GNSS navigation. Its directional configuration allows an operator to concentrate electronic countermeasures on a particular aerial target rather than indiscriminately radiating energy across a large area. That matters on a battlefield where the warning time against a small UAV or first-person-view drone may be measured in seconds. The appeal of such a system is therefore not simply that it can counter a drone. It is that it can potentially bring counter-drone capability closer to the soldier and to the tactical edge. Large counter-UAS installations have their place, particularly around fixed and high-value assets. But forward units require systems that can move with them, be deployed rapidly and operate against small, low-cost unmanned platforms without imposing the logistical burden associated with conventional weapons. The T-SHUL BEAM’s significance also lies in its proposed integration with an artificial-intelligence-enabled battle-management architecture. IG Drones, the original equipment manufacturer, has stated that T-SHUL BEAM has been integrated with GRID, its indigenous AI-powered platform. The GRID architecture is intended to bring sensors, intelligence systems, unmanned platforms and command elements into a common operational framework. The attraction of such integration is obvious. Countering drones is increasingly less about a single weapon and more about the speed of the kill chain: detecting a threat, identifying it, deciding what response is appropriate and directing that response before the target disappears. An AI-enabled command architecture can potentially improve situational awareness, facilitate real-time threat detection and coordinate different systems operating simultaneously. This is particularly relevant as drone warfare evolves from isolated attacks towards increasingly complex and potentially swarming operations. A battlefield crowded with drones cannot be managed effectively if every sensor and weapon operates as a separate island. The advantage will increasingly belong to forces capable of turning disparate streams of information into a coherent picture and responding at machine speed. The T-SHUL BEAM’s reported demonstration at Pokhran represents another step in India’s attempt to build a domestic ecosystem spanning drones, counter-drones, artificial intelligence and electronic warfare. Counter-drone warfare is likely to be a recurring requirement rather than a niche capability. Importing every component of such an ecosystem would leave India vulnerable to supply-chain disruptions, technology restrictions and foreign-exchange pressures. Indigenous development, even when undertaken by relatively small private-sector companies, can broaden the country’s technological base and give the armed forces greater freedom to adapt systems to their operational requirements. Economics of the Contest Yet the real measure of any counter-drone system will ultimately be operational rather than promotional. Electronic warfare is inherently a contest between countermeasure and counter-countermeasure. Drone designers can alter frequencies, communications protocols, navigation methods and levels of autonomy. A system that is effective against one generation of drones may require modification against the next. The battlefield, in other words, will remain a technological arms race. The economics of the contest nevertheless favour directed-energy and electronic-warfare solutions. A conventional interceptor expends a missile or projectile against each target. A beam-based system can, subject to its power supply, engagement envelope and other operational constraints, engage targets without expending conventional ammunition. The marginal cost of an interception can consequently be dramatically lower. The beam also travels at effectively the speed of light, removing the flight time associated with kinetic interceptors. In densely populated areas or around sensitive infrastructure, bringing down a drone with a projectile can create its own hazards. Electronic disruption, when properly controlled, offers the possibility of neutralising the threat without sending an interceptor crashing back to earth. These advantages should not obscure the limitations. Soft-kill systems depend on the vulnerabilities of the target’s electronic architecture and may be less effective against increasingly autonomous drones that require fewer external communications. Weather, range, power availability, frequency management and the sophistication of an adversary's electronic countermeasures can all affect performance. No single technology is likely to provide a complete answer. The future of counter-drone warfare will therefore belong not to the beam alone but to layered defence combining. The emergence of systems such as T-SHUL BEAM suggests that India is beginning to build the technological pieces of that architecture at home. (The writer is a retired naval aviation officer and a defence and geopolitical analyst. Views personal.)

Mitigating Farm Suicides

Writer: Parashram Patil
Parashram Patil
Jun 30
3 min read

The Farmer Health Capital theory reframes physical and mental well-being as productive economic assets, offering a preventive alternative to India's reactive farm policies.

For decades, India’s policy interventions aimed at mitigating the chronic agrarian crisis have relied on a predictable set of macroeconomic levers: adjustments to the Minimum Support Price (MSP), post-crisis loan waivers, and input subsidies for seeds, power, and fertilisers. Despite these extensive fiscal measures, the systemic cycle of farm-sector suicides persists unabated, with data from the National Crime Records Bureau (NCRB) showing that 10,546 individuals in the farming sector lost their lives to suicide in 2024 alone.

 

Blind Spot

The fundamental limitation of current agricultural frameworks lies in a conceptual blind spot: economic models traditionally treat the farmer as an instrument of uniform labour, failing to account for how physical and psychological depletion accelerates financial insolvency.

 

A critical paradigm shift is emerging through the Farmer Health Capital (FHC) Theory, on which this author has worked and researched extensively. By redefining a farmer’s health status from a social welfare metric into a vital piece of economic infrastructure, this framework provides a structural, preventative blueprint to intercept agrarian distress before it reaches a crisis point.

 

Traditional agricultural economics utilises a production function that calculates aggregate output based strictly on material inputs and aggregate labour hours. The FHC framework modifies this standard formula by introducing health as a variable multiplier:

 

Y=f (S, F, W, L * H)

 

Where Y represents total agricultural output. S, F, W represent material inputs (Seeds, Fertiliser, Water). L represents raw labour hours applied. H denotes the Health-Adjustment Factor (0 < H ≤ 1), quantifying the farmer's physical and mental capacity.

 

In India's contemporary agricultural landscape, H faces continuous depreciation due to escalating climate stressors, chronic pesticide toxicity, and acute psychological stress. In 2024, extreme weather events affected over 4 million hectares of cropped area in India, directly aggravating this strain. When a farmer's health capital depletes, labour productivity drops, crop yields decline, and out-of-pocket medical expenditure increases.

 

According to data compiled by the World Bank and WHO, out-of-pocket healthcare expenses push roughly 55 million Indians into poverty annually. This dual shock - depressed revenues coupled with non-discretionary medical debt - serves as the primary financial catalyst driving systemic agrarian distress.

 

Preventive Intervention

The FHC framework operationalises these macroeconomic insights through four complementary reforms. It proposes incorporating the biological depreciation and long-term health costs of manual farming into MSP calculations, justifying a 15–25 percent premium for labour-intensive crops such as cotton and sugarcane to reduce debt vulnerability. It also advocates replacing reactive crisis management with data-driven early warning systems that use local health indicators such as spikes in stress, insomnia and occupational injuries, to identify agrarian distress before it escalates into economic collapse. To prevent medical emergencies from forcing farmers into the grip of informal lenders charging 24–60 percent annual interest, FHC proposes bundling institutional crop loans with comprehensive health insurance and regular wellness assessments. Finally, it envisions integrated agri-health clusters that link rural healthcare with agricultural services, addressing occupational hazards, heat stress, pesticide exposure and mental health, while normalising psychological care as an essential part of maintaining farmers' productive capacity.

 

Translating the FHC framework into national policy will require overcoming several structural hurdles. India’s highly informal farm economy poses the first challenge: small and marginal farmers account for 86 percent of all cultivators, making it difficult to systematically track health indicators across a vast, decentralised workforce. The urgency is underscored by recent NCRB data showing that agricultural labourers now account for 56.3 percent of farm-sector suicides, surpassing land-owning cultivators. A second challenge is the absence of gender-disaggregated data. Women undertake a significant share of physically demanding agricultural work but are often recorded in official statistics as "housewives", leaving their health depreciation invisible in policy design. Overcoming these constraints will require leveraging India's Digital Public Infrastructure by integrating the Ayushman Bharat Digital Mission with digital land records to create a localised, actionable Farmer Health Capital Index.

 

Addressing India’s agrarian crisis through sporadic, post-crisis loan waivers provides temporary relief without mitigating root systemic vulnerabilities. The Farmer Health Capital Theory offers a rigorous alternative: by recognizing that agricultural yield is fundamentally dependent on human vitality, it reframes rural healthcare spending as a direct investment in macroeconomic productivity. Sustaining India’s agricultural future requires looking beyond soil and crop metrics to protect the sector's most critical, depreciable asset: the farmer.

 

(The writer is a member of Maharashtra Agriculture Price Commission. Views personal.)

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