$550,000 grants to enhance farmers’ sugarcane manufacturing and handle environmental challenges in nationwide park in Vietnam
SMART-EYE: AIRBORNE AND AI-DRIVEN TECHNOLOGY TO ADDRESS FARMING CHALLENGES
Researchers on the College of Wollongong (UOW), the Hanoi College of Science and Expertise, and Hong Duc College have acquired a $300,000 grant from the Division of Overseas Affairs and Commerce’s Aus4Innovation program to work on a technology-led answer to enhance the manufacturing and high quality of sugarcane in Vietnam.
To fulfill with the ever-growing demand of sugarcane within the ASEAN area, sugarcane farmers in Vietnam want cost-effective and fit-for-purpose options to extend the nationwide manufacturing and enhance the standard of sugarcane within the nation.
Researchers from three universities proposed a drone-based know-how to design, take a look at, and deploy a system that may allow an airborne and AI-driven evaluation of sugarcane to enhance manufacturing and assist farmers’ livelihood.
The AI-driven system will enable corporations like Lasuco, a Vietnamese-based sugarcane manufacturing firm, and native farmers to repeatedly monitor the vitamin ranges and illness infestation of sugarcane fields, thus serving to enhance the sugarcane productiveness, scale back the manufacturing prices and estimate yield.
The analysis workforce will make sure that the venture delivers tangible advantages to native farmers and contributes to enhancing the competitiveness of sugar manufacturing within the area.
The venture, named Good-Eye, will utilise drones in auto-pilot and supervised flying modes for airborne information acquisition and surveillance. It should enable farmers to observe crop well being; estimate and map soil moisture; establish and map weed at species degree for optimum herbicide spraying; ship spraying drones to automate the spraying after the weed mapping; and estimate sugarcane yield manufacturing.
Senior Professor Pascal Perez, Director of SMART Infrastructure Facility at UOW, leads the Good-Eye venture and stated farmers may have direct entry to the info associated to their crops, which will probably be accessible through sensible cellphone, pill or pc.
“We’re excited to be engaged on this venture in collaboration with our companions in Vietnam,” Professor Perez stated.
“Farmers will be capable to obtain real-time alerts in regards to the well being of their sugarcane fields. This info will embrace essential physiological elements corresponding to water availability, nutrient ranges and early indicators of illness outbreak.
“The speedy and correct detection of leaf response to varied stresses will enable farmers to intervene on time and effectively, thus optimising the manufacturing and saving essential assets corresponding to water, fertilisers, herbicides and pesticides.”
The know-how will probably be primarily based on 4 core elements, deploying the airborne system to make sure the most effective flying path is recognized; establishing the system to gather datasets and algorithms for capturing photos; testing the system to make sure its information accuracy and; coaching native groups to function the know-how.
AI/ IOT-POWERED DASHBOARD FOR ENVIRONMENTAL MANAGEMENT AT TRAM CHIM NATIONAL PARK
Researchers on the College of Wollongong (UOW) and Ho Chi Minh Metropolis College of Expertise in Vietnam have acquired a $250,000 grant from CSIRO’s Auss4Innovation venture to handle the environmental administration points on the Tram Chim Nationwide Park in Vietnam.
Tram Chim Nationwide Park, situated in Dong Thap province of Vietnam, is among the final remnants of the threatened Plain of Reeds wetland ecosystem. It has vital biodiversity and tourism worth, offering habitat for over 230 chicken species and 130 fish species, together with the long-lasting Sarus Crane listed as endangered on the Worldwide Union for Conservation of Nature Pink Checklist.
The researchers proposed an AI/ Web of Issues (IoT) primarily based digital answer to design and deploy a hub of IoT gadgets that may gather information within the type of photos of animals, crops and water ranges, water turbidity, temperature, CO2 and different parameters in numerous areas of the Tram Chim Nationwide Park ecosystem.
The collected information will assist establish and depend animals, recognise crops and their situations, and establish water ranges and high quality in several components of the Park. It is going to be introduced on a digital dashboard for evaluation.
The proposed digital AI-powered dashboard will probably be readily accessible to totally different stakeholders of the Park corresponding to rangers, governance officers and researchers, by PCs, cellphones or tablets to assist the choice making and adaptive administration at Tram Chim Nationwide Park.
UOW Affiliate Professor Hoa Khanh Dam, from the Faculty of Computing and Data Expertise, leads the venture and stated present environmental administration and analysis at Tram Chim are hampered by inadequate and irregular survey information, resulting from an absence of digital assets, excessive climate situations and complicated, massive surroundings lined by the park.
“The dearth of information presents critical challenges for making knowledgeable selections and deploying administration methods for the Park’s ecosystem each day,” Affiliate Professor Dam stated.
“In shut collaboration with all stakeholders and our know-how accomplice Microsoft, we can present a digital answer pushed by information and machine studying to make knowledgeable selections in managing the ecosystem well being of the Park.”
Aus4Innovation is an AUD $13.5 million growth help program that goals to strengthen Vietnam’s innovation system, put together for and embrace alternatives related to Trade 4.0, and assist form Vietnam’s innovation agenda in science and know-how.