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Sustainability in farming: the role of drone spraying in reducing pesticide use

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In the changing agricultural landscape, strength for sustainability is more important than ever. One of the most important areas of focus is the lower use of insecticides, which have long been a key element of today’s agricultural operations. While insecticides are amazing at controlling pests, they have been criticised for their environmental and fitness results.

As a result, the technology of drones serves as a modern option that guarantees to transform the use of insecticides while contributing to extra environmentally friendly agriculture.

The effects of pesticides on environment and human health

Pesticides protect crops from disease and pests, thereby offering nutrients and agricultural productivity. However, their massive use has raised extreme concerns. Pesticides can pollute air, water, and soil, and harm non-target creatures of helpful pests, birds, and also aquatic life. In addition, crop residues can pose a health hazard to any buyer and farm worker.

Reducing pesticide use while maintaining agricultural yields is a complex challenge that demands innovative solutions. Traditional pesticide application methods such as ground spraying and aerial spraying often lead to uneven distribution and significant waste. It’s the drone technology that’s changing the game.

Drone spraying: accuracy and efficiency

Drone spraying, often called Unmanned Aerial Vehicle (UAV) application, uses cutting-edge technology to deliver insecticides with particular precision. These drones are equipped with GPS, sensors, and sophisticated software that allows them to precisely navigate the fields and deliver the most suitable insecticides. This precision minimizes the total amount of insecticide used, reducing environmental contamination and potential damage to non-target species.

One of the maximum critical benefits of drone spraying is its ability to deliver customised treatments. Drones can be programmed to fly along unique trajectories, ensuring that insecticides are applied evenly and exclusively to pest-infested areas. This targeted method is not only effective in insecticide protection, but it additionally reduces the possibility of insect resistance, which is an average problem with conventional blanket spraying techniques.

Advantages of drone spraying

In the quest for sustainable agriculture, drone spraying is emerging as a transformative technology that delivers precision, efficiency, and environmental benefits, noticeably reducing pesticide use while increasing crop conditions and yields. Here’s a look at the top level of its few advantages.

● Reduced chemical use: Drone spraying successfully targets insect hotspots, resulting in reduced chemical use. According to research, drone spraying can reduce pesticide use by up to 30%, resulting in huge reductions in chemical runoff and soil infection.

● Improved crop health and yield: Precision spraying improves crop health and productivity by applying the correct amount of insecticide. In addition, the ability to get into difficult terrain and tend to crops constantly increases the productivity of the farm.

Cost Effectiveness: While the initial funding for drone technology can be substantial, the long-term benefits are great. Reduced pesticide use and accelerated crop yields result in cheaper expenses and additional revenues for farmers.

● Work efficiency: Drone spraying eliminates the need for manual labour, which is especially beneficial for large farms that are struggling with labour shortages. Drones can cover huge areas quickly and accurately, freeing up human resources for other important work.

Environmental protection: The precise application of pesticides minimises their impact on the surrounding environment. This is important for preserving biodiversity and protecting ecosystems. In addition, drones have a lower carbon footprint compared to conventional spraying strategies, contributing to overall sustainability.

Overcoming challenges

While the advantages of drone spraying are obvious, there are barriers to wider use. Small-scale farmers may face challenges such as the initial expense of drones and the requirement for technical competence. However, as technology progresses and becomes more accessible, these obstacles are expected to fall.

Drone technology adoption is also heavily influenced by regulatory frameworks. Ensuring that regulations keep pace with technological advancements is critical for fostering innovation while maintaining safety requirements. Governments and agricultural organisations must collaborate to develop policies that encourage the incorporation of drone spraying into traditional farming techniques.

The future of sustainable farming

Drone technology is an important step towards sustainable farming, but it is not a complete solution. Integrating drone spraying with other sustainable methods, such as crop rotation, biological pest control, and organic farming, can result in a more holistic approach to agriculture that prioritizes both productivity and the environment.

As drone technology advances, its use in agriculture is expected to grow. Drones with improved sensors for real-time monitoring of crop health, soil conditions, and insect activity could be among the next developments. These innovations will allow farmers to make data-driven decisions, increasing the efficiency and sustainability of their activities.

In conclusion, drone spraying offers a promising solution to one of the most pressing challenges in modern agriculture: reducing pesticide use while maintaining crop health and productivity. By leveraging precision technology, drones can minimize environmental contamination, enhance crop yields, and contribute to the overall sustainability of farming practices. As we look forward, embracing such innovations will be key to creating a more sustainable and resilient agriculture.

(Vidur Varma is the CEO of Agri Wings)

(Disclaimer: The views and opinions expressed in this article are those of the author and do not necessarily reflect the views of YourStory.)





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BrowserStack launches AI-driven Low Code Automation tool

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Software testing platform BrowserStack has rolled out Low Code Automation, a solution to simplify test automation for quality assurance teams, developers, and non-technical users. 

The newly launched solution will address challenges faced by software teams, including manual testing delays and complex automation frameworks, BrowserStack said in a statement. 

While traditional test automation requires coding expertise by often limiting non-technical testers to contribute, this tool allows user—irrespective of their technical background—to create and manage AI-driven automated tests without writing code. Users can also use BrowserStack’s cloud infrastructure for reliable test execution.

“(The AI-powered Low-Code Automation (LCA) simplifies the process of building and maintaining test automation suites compared to traditional tools like Selenium. It reduces the steep learning curve and complexity often associated with automation projects, leading to a quicker return on investment (ROI),” Chintan Doshi, Director of Product Management at BrowserStack, told YourStory

To support development teams worldwide, Low Code Automation speeds up testing cycles, boosts product quality, and enhances user experience by reducing technical barriers. 

“Citizen testers—such as business analysts, product managers, and customer support teams—can easily add validations and create automated tests with the test recorder, without requiring coding skills. This reduces their dependency on developers and QAs and empowers them to actively contribute to testing efforts,” Doshi explained.

Founded in 2011 by Ritesh Arora and Nakul Aggarwal, BrowserStack provides a cloud-based platform for developers to test websites and mobile apps across devices, operating systems, and browsers on demand.

With headquarters in San Francisco and Mumbai, the company has expanded its product line to include over 15 products, of which 10 were launched in the past 18 months.

In August, the Accel-backed firm acquired Berlin-based Bird Eats Bug, an advanced bug-reporting tool. The acquisition aims to address the existing gaps in bug reporting and streamline fragmented testing workflows.





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Flipkart’s delivery arm Instakart reports widening losses, lower revenue in FY24

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Flipkart’s delivery service arm Instakart’s FY24 losses increased multifold to Rs 1718.4 crore, from Rs 324.6 crore in the previous year, hurt by higher expenses and marginally lower revenues. 

The company, which is in the logistics, warehouse, courier and allied services business, clocked an operating revenue of Rs 12,115.3 crore in FY24, 5% lower than Rs 12,787.4 crore it posted a year ago, according to filings made with Toefler. 

During the period, the company’s total expenses increased 6% to Rs 14,149.4 crore, mainly driven by employee benefit and other expenses. 

Logistics services accounted for the majority (about 78%) of Instakart’s total operating revenues, with Rs 9,429.8 crore, marginally lower than what it collected in the previous year.

Warehousing services, which accounted for about 10% of total operating revenues, witnessed a 28.4% drop in revenue, while collection services, which accounted for 12%, remained stable. 

Just a week ago, Flipkart Internet reported a 21% rise in FY24 revenue at Rs 17,907.3 crore helped by rising income from its advertising services.

Flipkart India Ltd, which is Flipkart’s business-to-business (B2B) arm, reported a 26.4% rise in revenue from operations at Rs 70,541.9 crore in FY24. 





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Google Cloud to boost support for early-stage AI startups with new programmes, partnerships

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Google has rolled out a range of programmes and partnerships to accelerate the growth of AI startups In India. The initiatives, announced at an AI Startups Summit in Bengaluru, will support early-stage AI founders in building, scaling, and expanding their customer base through the utilisation of Google Cloud services.

 

The tech giant recently introduced Emerging ISV Partner Springboard—a 12-week programme designed to fuel growth for AI startups. Participants will benefit from hands-on support in creating go-to-market assets, consultations with Google AI experts for product refinement, guidance on technical architecture best practices, and streamlined onboarding to Google Cloud Marketplace. 

“Google is committed to empowering AI startups to drive innovation and growth. These initiatives demonstrate our dedication to providing critical support and resources to early-stage founders, helping them build and scale successful AI-powered businesses,” said Manish Gupta, Senior Director, Research, Google DeepMind. 

During a fireside chat at the Global Google Cloud Summit, Google Cloud CEO Thomas Kurian applauded startups leveraging AI and cloud technology

“At Google Cloud, our mission is to support these pioneers by providing the essential tools, resources, and mentorship they need to thrive. Through strategic partnerships, tailored programs, and advanced infrastructure, we are committed to enabling businesses to scale their impact and drive the next wave of digital transformation,” said Kurian. 

Early-stage founders will receive enhanced support through the Google for Startups Cloud Program, which will offer $200,000 in Google Cloud credits over two years. AI-based startups will receive even greater support, receiving $350,000 in credits to address the demanding computational needs of advanced AI development, the company said in a statement. 

In addition, Google has collaborated with Y Combinator to provide exclusive access to NVIDIA H100 GPUs and Google Cloud TPUs, along with cloud credits, support, and mentorship for its Summer 2024 group of AI-focused startups.

Furthermore, the tech giant is also joining forces with early-stage accelerators and incubators such as 500, StartX, and Berkeley Skydeck to provide early-stage founders with a special package, including Google Cloud credits, expert advice, and technical workshops

Earlier, the California-headquartered firm also announced the launch of Startup School: GenAI, a four-week training programme designed to help startups leverage AI.





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