Automated photonic multi-spectral weed discrimination sensor for precision agriculture

用于精准农业的自动光子多光谱杂草辨别传感器

• 批准号: LP0776734
• 负责人: Prof Kamal Alameh
• 金额: $ 16.45万
• 依托单位: Edith Cowan University
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2007
• 资助国家: 澳大利亚
• 起止时间: 2007-08-25 至 2010-08-27
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0776734
• 关键词: Automated; photonic; multi; spectral; weed

Australian farmers spend over $800 million yearly on herbicides. The proposed technology can reduce herbicide usage by 80% (i.e. over $640 million p.a. saving) and improve crop yields by 30%. Precision application of herbicides, fertilisers and nutrients to weeds and crops has both economic and environmental benefits which will increase farm profits and boost Australia's export sales. Reduced chemical loads on ecosystems will benefit the environment and reduced chemicals in the food chain will benefit the health of Australians. This development will put Australia at the cutting edge of precision spray technology and has numerous spin-off applications in many sectors.

澳大利亚农民每年在除草剂上花费超过8亿美元。拟议的技术可以减少80%的除草剂使用量（即每年超过6.4亿美元）。节约），并将作物产量提高30%。除草剂、肥料和营养素的精确施用对杂草和作物具有经济和环境效益，这将增加农场利润，促进澳大利亚的出口销售。减少生态系统的化学负荷将有利于环境，减少食物链中的化学物质将有利于澳大利亚人的健康。这一发展将使澳大利亚处于精密喷涂技术的最前沿，并在许多领域有许多附带应用。