Water and nutrient stress detection in broad acre crops using remote sensing. The national benefit of the remote sensing of water and nutrient levels in crops comes from improved agricultural practice; leading to cost savings, reduced water usage and reduced pollution. This benefit will arise since irrigation and fertiliser application can be exactly tailored to the measured needs of broad-acre crops. In Australia, water is a scarce resource. Reducing consumption by irrigators will have signi ....Water and nutrient stress detection in broad acre crops using remote sensing. The national benefit of the remote sensing of water and nutrient levels in crops comes from improved agricultural practice; leading to cost savings, reduced water usage and reduced pollution. This benefit will arise since irrigation and fertiliser application can be exactly tailored to the measured needs of broad-acre crops. In Australia, water is a scarce resource. Reducing consumption by irrigators will have significant downstream benefits. By remote measurement of nutrient variation within paddocks, fertiliser applications can be optimised. Minimum excess fertiliser will then be present and this will minimise runoff and potential downstream water pollution.Read moreRead less
Collaborative planning support tools for optimising farming systems (CPSTOF). What you know about what you can grow is becoming a key issue in farm management. Better guidance on alternative land cropping systems that can be grown to optimise farm productivity is needed. Micro-level land classes maps have been identified hby AgWA, farmers and regional development and community groups as an urgent need to enable them to design resilient and diversified farming systems. To this end, we propose ....Collaborative planning support tools for optimising farming systems (CPSTOF). What you know about what you can grow is becoming a key issue in farm management. Better guidance on alternative land cropping systems that can be grown to optimise farm productivity is needed. Micro-level land classes maps have been identified hby AgWA, farmers and regional development and community groups as an urgent need to enable them to design resilient and diversified farming systems. To this end, we propose integrating high resolution digital multispectral images, GIS and multi-criteria decision analysis techniques to help farmers use input appropriate to the productive capacity of their paddocks and to elaborate sound farm planning based on the potential of the land for specific land uses.Read moreRead less