The AI-based fertigation system combines irrigation and fertilizer utility into one good system. (Image supply: Malawi University of Science and Technology)
The Malawi University of Science and Technology (MUST) has launched an AI-powered fertigation system that automates irrigation and fertiliser utility utilizing real-time knowledge to enhance crop manufacturing and climate-smart agriculture.
The initiative types a part of the Transforming African Agricultural Universities to Meaningfully Contribute to Africa’s Growth and Development (TagDev 2.0) programme and goals to extend manufacturing of high-value crops whereas demonstrating how AI can assist farmers adapt to local weather change.
Implementation has already begun at MUST’s major campus in Thyolo, the place a greenhouse has been established forward of planting tomatoes, bell peppers and cucumbers early subsequent month.
The undertaking is led by Dr Jabulani Nyengere, senior lecturer in geoinformatics and postgraduate coordinator at MUST, who mentioned the system combines AI, precision irrigation and automated fertiliser administration to enhance effectivity whereas lowering water and nutrient waste.
“We are using AI to make farming more efficient, productive and climate-resilient while providing students and communities with practical skills that can transform agriculture,” Nyengere mentioned.
The technology constantly analyses crop development knowledge and robotically adjusts water and nutrient ranges, making certain vegetation obtain the appropriate inputs whereas conserving assets, he mentioned.
The undertaking additionally features a good tree nursery the place AI-assisted methods will regulate watering and nutrient utility to supply climate-resilient seedlings able to withstanding drought, floods and different excessive climate circumstances.
According to MUST, the digital farming facility will function a sensible innovation hub the place college students, younger folks, farmers and surrounding communities will obtain hands-on coaching in AI-powered fertigation, precision irrigation, climate-smart farming and sustainable nursery administration.
The university mentioned the initiative is predicted to enhance entry to high quality planting supplies, improve agricultural productiveness, and enhance family meals safety and incomes.
The undertaking types a part of MUST’s participation within the TagDev 2.0 programme, which helps African agricultural universities in making use of analysis and digital applied sciences to handle agricultural challenges whereas getting ready graduates with sensible expertise in AI-enabled farming.