AI-based drones to revolutionise agriculture : KVK expert

Premchand Thongam *

 AI-based drones to revolutionise agriculture : KVK expert
AI-based drones to revolutionise agriculture: KVK expert :: Pix - Chronicle News Service / Premchand Thongam



With technological advancements in artificial intelligence, AI-based drones are proving to be highly suited in agricultural activities, offering efficiency and precision in various farming practices. More advanced technology will emerge in the future, bringing further benefits to the sector, said Krishi Vigyan Kendra (KVK) Imphal East, subject matter specialist (plant protection) Hemam Ramananda.

In an exclusive interview with The People's Chronicle, Ramananda shared his insights into the application of drones in agriculture, based on his personal experience in their use in Delhi. He also attended a 10-day specialised training programme on agricultural drone technology in Tamil Nadu, gaining first-hand insight into how these machines can enhance farming efficiency.

Traditionally, drones are controlled by human operators, but with artificial intelligence, they can function autonomously. The control unit, which is considered the brain of the drone, enables it to navigate independently with the help of AI.

These drones are equipped with gyroscopes, barometers, and GPS systems, allowing them to fly along pre-determined flight paths while avoiding collisions with obstacles. Their advanced drone collision detection system, powered by AI, helps ensure safe and efficient operation even in complex environments.

One of the most significant applications of agricultural drones is their ability to carry payloads for spraying fertilisers, pesticides, or other essential nutrients.

According to Ramananda, using drones for this purpose is far more efficient than manual methods. A drone can cover an acre of land in just seven minutes, a task that would take hours if done manually by a farmer. This rapid and uniform application of inputs not only saves time but also ensures better coverage, reducing wastage and improving crop health.

In addition to spraying fertilisers and pesticides, drones are also highly effective in detecting pest infestations, particularly in high-altitude crops such as fruit-bearing trees. Traditionally, identifying pest problems in such areas has been challenging, but with drones equipped with high-resolution cameras and multi-spectral sensors, farmers can now monitor crop health more effectively.

These drones can analyse the infrared and UV spectrum to detect pest infestations, nutrient deficiencies, and soil moisture levels, allowing for precise intervention. Once the problem areas are identified, the drone can automatically apply the required amount of fertiliser or pesticide in the affected areas, optimising resource use and minimising environmental impact.

For the first time in Manipur, KVK, Utlou has tested agricultural drones, marking a significant step towards modernising the state's farming practices. Beyond spraying fertilisers and pesticides, these drones can also be used for sowing seeds and other agricultural tasks, further expanding their utility.

Despite their benefits, Ramananda pointed out that the high cost of these drones remains a major challenge. While the technology holds great promise, its adoption in Manipur will depend on cost-effective solutions.

With continuous advancements in AI and drone technology, the agricultural sector stands to gain immensely. As these innovations evolve, they have the potential to transform traditional farming methods, improving efficiency, reducing labour-intensive tasks, and enhancing overall productivity.

However, the question remains whether farmers in Manipur will be able to afford and adopt these cutting-edge technologies in the near future.


(This article is published under the 5th Scientific Journalism Program on 'Artificial Intelligence and Its Usage' of the Public Relations and Media Management (PRMM) Cell, Central Agricultural University, Imphal) .


* Premchand Thongam wrote this news article for Chronicle News Service
This article was webcasted on April 11 2025.