ISMA launches AI–ML based national program to boost sugarcane yield and farmer income
A memorandum of understanding (MoU) in thisb regard was signed between ISMA, ADT and Map My Crop (MMC) – an agri-tech platform specialising in AI-driven farm monitoring.
The scientific program aimed at enhancing sugarcane productivity, crop quality, sustainability and farmers' incomes, involves satellite monitoring through an IoT (internet of things) device, and is expected to benefit over 50 lakh sugarcane growers' families and around 30 lakh hectares of sugarcane cultivation area in the state.
ISMA has so far coordinated with over 30 sugar mills in UP, 20 in Maharashtra and 10 in Karnataka to disseminate the advanced AI-ML technology among the farmers. Officials said in the initial phase, the program is to be launched as a pilot project in an area of 100 acres per sugar mill. "We have set a target to enhance sugarcane productivity by at least 100 quintals per hectare and sugar recovery rate of 11% or more through scientific advancement", said ISMA's managing director Deepak Ballani while speaking to TOI.
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Through ADT's collaboration with Oxford University and Microsoft, a groundbreaking project titled "application of AI, computer vision and machine learning for game-changing improvements in sugarcane crop farming practices" was started last year under which, over 1,000 farmers across the three major sugar producing states were empowered with AI-driven solutions, including machine learning and computer vision tools, to enhance their sugarcane farming practices.
"The outcomes reflected a 40% increase in crop yield, 35% reduction in labour costs, 30% savings in water usage, considerable reduction in input costs and overall expenditures, 35% improvement in harvesting efficiency and significant reduction in greenhouse gas (GHG) emissions through precision farming", said Ballani, adding that ISMA already partnered with the Indian council of agriculture research's (ICAR) sugarcane research institutes to promote high-yielding varieties and efficient farm practices.
"The program will deliver practical farmer-centric benefits – including location-specific precision farming modules, satellite-based soil health and fertility mapping, real-time pest and disease alerts through remote sensing, image-based weed detection and control, custom weather advisories and water stress monitoring, IoT-enabled precision irrigation for water efficiency, variable rate application (VRA) for optimal fertilizer use and reduction in both input costs and carbon footprint," Ballani added.
"The field demonstrations and capacity-building sessions are also planned to promote rapid adoption of the program by farmers in broader aspects", he said.
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