Konica Minolta Sensing applications

Validation and accuracy of phenotyping information is crucial for plant research and crop improvement. Conventional phenotypic analysis in plant relies on the assessment and characterization of vegetation constitution mainly with manual observations. But visual assessment and manual measurements can be subjective, prone to human bias, time-consuming and labour-intensive, leading to variations in interpretations and being impractical for large-scale. Due to the subjectivity in data collection, reproducibility is limited and capturing dynamic changes in plant attributes over time is hindered. In addition, harvesting and analysing leave or root samples require to sacrifice the plant. Destructive sampling limits the ability to monitor plant development continuously.

Data-driven decisions for optimized crop management for plant research and agriculture practices. Why crop monitoring is important? Crop monitoring plays a crucial role in modern agriculture as it empowers plant researchers and agricultural producers with critical insights necessary for a productive and sustainable production. It facilitates proactive and targeted interventions, leading to improved conditions, optimized resource utilisation, increased crop production, and enhanced farm profitability.