Advancing towards Tech-driven, Resilient Agriculture

The technologies such as the Internet of Things (IoT), Big data, Artificial Intelligence (AI), Machine Learning (ML) and agribots are helping the farming community by providing granular data on rainfall patterns, water cycles, fertiliser requirements, improving crop production and real-time monitoring, harvesting, processing, and marketing.

India’s agricultural sector today is said to be on the verge of a breakthrough technological transformation. The new farm management approach uses Geo Positioning Systems (GPS) and Artificial Intelligence-enabled software for precise mapping of farmlands, ensuring that individual fields or crops get precisely the inputs they need for optimum productivity. The technologies such as the Internet of Things (IoT), Big data, Artificial Intelligence (AI), Machine Learning (ML) and agribots are helping the farming community by providing granular data on rainfall patterns, water cycles, fertiliser requirements, improving crop production and real-time monitoring, harvesting, processing, and marketing.

Despite the array of technology solutions available for farmers and investment flows, the road to transforming agriculture through technology is not without bottlenecks. Agritech solution providers need to consider several actions like training, awareness campaigns, demonstrations of new technologies in 2024 when looking to move toward a more sustainable production and to enhance efficiencies and increase farmers’ income by adopting them.

Agricultural technology aims to make fieldwork more efficient and convenient. Every year, many innovations, sometimes breakthrough technologies, appear in agriculture. With the modernisation and expansion of the agricultural industry, it is increasingly important for agricultural consultants, food manufacturers and industrial managers to stay abreast of the latest technological standards. Numerous technologies are contributing to increased efficiency within the agricultural ecosystem.

In this dynamic landscape, precision agriculture is positioned to thrive. This growth is fuelled by the widespread adoption of drones and unmanned aerial vehicles (UAVs) for real-time crop monitoring. Simultaneously, IoT devices and sensors will provide invaluable data on soil health and environmental conditions. AI and ML will play pivotal roles, offering predictive analytics for optimised crop management and image recognition for early detection of potential issues. AI and ML will further strengthen in application for precision farming. These technologies will help analyse vast datasets from drones, providing insights into optimal planting times, soil health, and customised crop management practices. Robotic solutions for planting, harvesting, and crop maintenance will remain in trend and only get better with time. Automated machinery with precision control will ensure accurate planting depths, selective harvesting, and targeted crop treatments.

The government of India has initiated the 4th wave of revolution in the agricultural sector to introduce technological advancement in the sector to improve yields. The government also launched the Digital Agriculture Mission for 2021-25 to include artificial intelligence, remote sensing, drones, robots, and other technology with grants for drone procurement.

The Department of Agriculture and Farmers Welfare (DA&FW) in collaboration with the Wadhwani Institute for Artificial Intelligence (Wadhwani AI) developed Krishi 24/7, the first-ever AI-powered solution for automated agricultural news monitoring and analysis, with support from Google.org.

Sensors and IoT Applications

Connected environment for devices is already flourishing and drones equipped with sensors and integrated with IoT applications will further help in real-time monitoring of the field’s conditions. Data regarding soil moisture, temperature, and crop health will empower farmers to make informed decisions, optimise resource usage, and minimise waste.

Blockchain technology is expected to contribute to transparency in the agricultural supply chain, ensuring fair compensation for farmers and providing consumers with information about the origins of their food. Biotechnology may introduce genetically modified crops with enhanced resistance to pests and adverse weather conditions. The deployment of autonomous vehicles and robotics is set to revolutionise farm operations, resulting in reduced labour costs and improved overall efficiency.

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