Apple Orchard Health: Evaluating Hyperspectral Imagery for Disease Detection and Biostimulant Efficacy.

苹果园健康：评估用于疾病检测和生物刺激剂功效的高光谱图像。

• 批准号: 10079283
• 金额: $ 5.97万
• 依托单位: RUMWOOD GREEN FARM LTD
• 依托单位国家: 英国
• 项目类别: Grant for R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10079283
• 关键词: Apple; Orchard; Health; Evaluating; Hyperspectral

UK fruit growers are facing a major challenge, exacerbated by the diminishing availability of plant protection products (PPP's): controlling crop disease. The phasing out of traditional PPP's, driven by environmental concerns, has added complexity to this issue. Despite utilisation of PPP's, UK apple growers experience an annual crop loss of approximately 10-12% due to apple scab, a fungal disease. Without PPP's, this figure would skyrocket to 70-80%. However, there is a promising solution on the horizon: biostimulants. These are natural substances or micro-organisms that can enhance the natural defences and overall health of the plants when applied to them.However, one significant challenge of biostimulants is assessing their effectiveness as they operate distinctively from conventional PPP's. Biostimulants serve as preventative measures rather than curative, necessitating timely application before visible disease symptoms emerge. Accurately timing their use is difficult, as the critical phase of scab infection remains invisible to the naked eye.Our project aims to address the challenge of evaluating the effectiveness of biostimulants by utilising advanced technologies such as hyperspectral cameras and drones. Hyperspectral sensors can capture and analyse a wide range of spectral bands, providing detailed and precise characterisation of objects or materials based on their unique spectral signatures. By identifying specific spectral signatures for crop diseases, like apple scab, and determining which spectral bands indicate the efficacy of biostimulants, we can develop an affordable camera tailored to the needs of growers. This camera will serve as an early warning system, helping prevent disease spread, enhancing crop yield and operational efficiency, and reducing reliance on traditional PPP's.Upon project success, our system has the potential for broader applications. It can be adapted to test various biostimulants, crops, and diseases, extending its usefulness beyond the initial scope. This adaptability will enable us to gather valuable insights and drive advancements in biostimulant research, crop management, and disease control practices in other UK crops. We can also extend our technology to growers globally, addressing shared challenges related to universal disease, crops, and biostimulants.Our system will contribute to the UK's goal of achieving net-zero emissions by 2050 by facilitating the widespread adoption of environmentally conscious crop management practices and biostimulant use. Moreover, international implementation will promote environmental awareness, reduce carbon emissions, and mitigating the effects of climate change globally.

英国水果种植者面临着一个重大挑战，这会因植物保护产品（PPP）的可用性减少而加剧：控制作物疾病。在环境问题的推动下，从传统PPP的逐步逐步逐步逐渐增加了这一问题的复杂性。尽管利用了PPP，但英国苹果种植者的每年农作物损失约为10-12％，这是一种真菌疾病。没有PPP，这个数字将飙升至70-80％。但是，地平线上有一个有希望的解决方案：生物刺激物。这些是天然物质或微生物，在应用于植物时可以增强植物的天然防御能力和整体健康。生物刺激物是预防措施，而不是治愈性，需要在明显的疾病症状出现之前及时应用。准确的时间使用时间很困难，因为肉眼的cab感染的关键阶段仍然是肉眼不可见的。我们的项目旨在通过利用高光谱相机和无人机等先进技术来解决评估生物刺激物的有效性的挑战。高光谱传感器可以捕获和分析广泛的光谱带，根据其独特的光谱特征对物体或材料进行详细和精确的表征。通过确定诸如Apple scab之类的作物疾病的特定光谱特征，并确定哪些光谱带表示生物刺激剂的功效，我们可以开发一种满足种植者需求的负担得起的相机。该相机将作为预警系统，有助于防止疾病扩散，提高作物产量和运营效率，并降低对传统PPP的依赖。Upon项目成功，我们的系统具有更广泛的应用。它可以适应于测试各种生物刺激剂，农作物和疾病，从而将其有用性扩展到了初始范围之外。这种适应性将使我们能够收集有价值的见解，并推动其他英国作物的生物刺激研究，作物管理和疾病控制实践的进步。我们还可以将我们的技术扩展到全球种植者，解决与普遍疾病，农作物和生物刺激物有关的共同挑战。您的系统将有助于英国通过促进广泛采用环境意识的作物管理实践和生物量拟匹配的广泛采用，从而有助于英国实现净零排放的目标。此外，国际实施将促进环境意识，降低碳排放，并减轻全球气候变化的影响。