Agritech India Boosting Indian Agriculture Sector - By Egniol

Agritech India: The Emerging Technologies That Are Boosting the Indian Agriculture Sector

Agritech India

The agricultural value chain in India is highly convoluted, with numerous tiers of brokers and middlemen. However, as India’s IT industry develops, an increasing number of agritech businesses are springing up to assist farmers in improving productivity and yields through the use of cutting-edge technology.

The services provided by these Indian agritech businesses assist farmers in increasing yields, optimising production, strengthening resilience, ensuring long-term viability, and much more. EY estimates that the Indian agritech business may generate $24 billion in revenue by 2025 if it fully embraces cutting-edge technology.

Tech in Agriculture is a Must

Farmers in India are dealing with a wide range of challenges, including inconsistencies in water supplies, lack of mechanisation, market connection issues, and inadequate storage facilities.

In large portions of India, the majority of agricultural work is done by hand with traditional instruments such as wooden plough, sickle, etc., resulting in a significant waste of human labour and low yields per capita. Flood irrigation is still used by a significant number of farmers.

Major challenges in agriculture can be resolved, however, by applying cutting-edge agritech technologies like artificial intelligence, data analytics, and the internet of things.

AgriTech India's Present-Day Techies

Agritech India Boosting Indian Agriculture Sector - By Egniol

A majority of farmers in India’s agricultural industry are still employing old-fashioned technology, despite the country’s recent adoption of new technology. The following is a list of the most regularly utilised agricultural technology in India:

  • Agritech Innovations in Livestock Farming:

Traditionalism in the cattle industry, despite its importance, is frequently overlooked and underserved. We can’t live without the renewable natural resources provided by livestock. There are many different types of livestock-related agribusinesses that are involved with livestock management.

  • Modern Greenhouses:

Small-scale research and aesthetic facilities (like botanic gardens) have grown into much larger-scale greenhouse producing facilities that compete directly with traditional land-based food production in the last few decades Modern greenhouses are increasingly using LED lighting and computerised control systems to precisely respond to the growth environment. Successful greenhouse businesses are expanding and establishing their growing operations near metropolitan areas in order to benefit on the increased demand for local food.

India's AgriTech Industry's Most Promising New Ideas

Agritech India Boosting Indian Agriculture Sector - By Egniol

Farmers are getting real-time farm data from modern-day startups. Their goal is to offer farmers information that will allow them to increase the overall quality and quantity of their crops while also lowering their production costs by combining IoT, AI, and agronomy. In India, the agritech ecosystem is developing, and the sector is expected to increase as a result.

To assist India’s agricultural sector, the following developing technologies have been identified. As technology advances, the agritech business in India has a bright future ahead of it.

  • IoT (Internet of Things):

Crop field monitoring is a time-consuming and labour-intensive task in conventional farming. IoT devices allow for real-time data collection and delivery through applications or other means. It may also be used to detect soil, temperature, and humidity, as well as track plants and livestock.

  • Robotics:

Farmers are dealing with a serious shortage of labour. It’s because of this that tech-savvy entrepreneurs are creating agricultural robots to assist farmers with a variety of jobs like pick-and-pack-and-spray-and-weed tasks. Farmers are increasingly relying on robots to perform tedious tasks in the field. They use GPS-enabled autonomous and semi-autonomous tractors for harvesting purposes. Tractors can also be equipped with auto-steering technology for easier field navigation. Additionally, robots are used in automated livestock management systems.

  • AI (Artificial Intelligence):

Farmers may be more proactive using artificial intelligence in agriculture since it provides them with real-time information on their fields. Farmers can make more informed decisions thanks to AI’s ability to predict meteorological data, crop output, and pricing predictions. Chatbots, comparable to Alexa for farmers, provide farmers with advice and product recommendations. Artificial intelligence (AI) and machine learning are being used to detect anomalies and diseases in plants and cattle. This allows for rapid diagnosis and, if necessary, corrective action to be taken quickly. Genome selection suggestions are also made using ML algorithms.

  • Drones:

Farm productivity can only be increased by reducing costs at the same time. As unmanned aerial vehicles (UAVs), or drones, farmers are able to more easily and efficiently deal with this issue. For farmers, drones provide vital farm monitoring data by collecting raw data. Aerial photography and surveying can be performed using drones equipped with cameras. For livestock tracking, geofencing, and monitoring grazing land using GPS technology, drones are also being used. Crop and soil research is made easier with the use of drones, which fly over fields and take photos in all kinds of light conditions, from plain visible light to multispectral.

  • Big Data & Analytics:

Farm data is generated on a daily basis, but this data is useless until it is evaluated. This data can be made valuable through the use of big data and analytics. To prepare for the upcoming farming season, the following factors are taken into consideration: crop area, crop production forecasts, land use, irrigation, agricultural prices, weather forecasts, and crop disease statistics From data on weather events, farm equipment, water cycles, crop quality and quantity comes information relevant to farm operations. Analytical instruments collect this information. With the use of this, previously hidden patterns and connections can be discovered.

  • Blockchain:

For example, food fraud, supply chain inefficiency, safety recalls, and traceability can all be addressed by leveraging blockchain’s capacity to maintain ownership records and resist tampering. To ensure that items and processes are validated, the decentralised nature of blockchain is essential. This results in an open market for premium goods.

Contact Egniol if you’re a startup in the agritech tech industry and need help registering your new firm.

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