Founder
Mr. S. Mohamed Jaleel, having spent several years in rural India and a passionate agriculturist himself with several acres of organic farming, was driven to do something for the farmers’ community. He along with his dedicated team ideated to build a smart device that would help farmers identify the diseases that hit the cotton plant leaves at an early stage. The proposed idea involves continual capturing of leaf images and usage of artificial intelligence to study the leaves. It also conveys the information to the concerned farmer using a communication module if any abnormality is found.
“Arockia Ilai” aims to support human intelligence with machine intelligence for early and effective detection of infections in cotton leaves to decrease the burden and to increase the income of the farmer community.
When the scorching sun makes every pore on our body sweat at the start of summer, we think of over-brimming our wardrobe with crisp cotton clothes. Ever wondered how hard the farmers who cultivated the crop would have worked? Being a farmer involves way too many difficulties than one could think of.
Since the launch of the Technology Mission on Cotton by the Government of India in February 2000, significant achievements have been made in increasing yield and production through the development of high yielding varieties, appropriate transfer of technology, better farm management practices, an increased area under cultivation of BT cotton hybrids etc. But the cultivation of the “white gold” comes with a lot of challenges. Our farmers face various constraints concerning climatic conditions such as unexpected rain, an outbreak of pests/diseases, seed related problems including adulterated seeds, high cost of seeds and non-availability of seeds. But as every lock has its key, this problem too has a solution
How innovative is it?
- A novel low-cost device for the early detection of cotton leaf disease.
- Various kinds of diseases can be classified and communicated to the farmers along with the affected leaf image automatically.
- A Uni/Omnidirectional camera can be fixed at different locations of cotton land to capture leaf images.
- A minimum of 1000 leaf samples can be captured in all directions to detect the minute details of the cotton leaves.
- The proposed device can be applied to all kind of cotton varieties.
- 24×7 monitoring and communicate the abnormality in leaves along with the geolocation point.
- As a text/voice message the abnormality of leaf data can be communicated via smartphone.
Our Incubators
