Imaging sensor solutions in the soft fruit industry for high throughput phenotyping and monitoring of abiotic and biotic stresses for premium variety production and maximised yields.

能够耐受非生物/生物胁迫的新作物品种对于在当前和未来的生长环境中保持作物生产力至关重要。然而，培育耐逆作物品种受到植物表型的精确度和产量的限制。该项目将开发和应用一种新型的拖拉机安装平台，用于利用IRT和高光谱成像技术对软果作物的植物逆境反应进行精确和高通量的田间表型鉴定。还建议评估冠层成像作为非生物和生物根胁迫的间接指标的价值。树莓等软质果树在田间条件下会受到多重胁迫，包括土壤条件差、水分供应不稳定、受到根腐病病原菌和食根性藤象幼虫的侵袭。表型数据将与遗传标记联系起来，以促进高产、抗逆的软果品种的培育。这一新颖的高通量表型分析平台将加速高产优质软果品种的开发和发布，这些品种在可持续减产种植中表现良好，有望在作物常规监测和逆境诊断中具有价值。

New crop varieties that can tolerate abiotic/biotic stresses are essential for maintaining crop productivity in current and future growing environments. Breeding stress-tolerant crop varieties, however, is limited by the precision and throughput of plant phenotyping. This project will develop and apply a novel tractor-mounted platform for precise and high throughput field phenotyping of plant stress responses of soft fruit crops using IRT and hyperspectral imaging. It is proposed also to assess the value of canopy imaging as an indirect indicator of abiotic and biotic root stresses. Soft fruit crops such as raspberry can experience multiple stresses in field conditions, including poor soil conditions, variable water availability, and attack by root rot pathogens and root-feeding vine weevil larvae. Phenotyping data will be linked to genetic markers to facilitate breeding of productive, stress-resistant soft fruit varieties. This novel high-throughput phenotyping platform will accelerate the development and release of productive high quality soft fruit varieties that perform well in sustainable reduced input cropping and is expected to be valuable for routine monitoring of crops and stress diagnosis.