Literal for Agro Inputs Testing - Plant Health Use Case скачать в хорошем качестве

Literal for Agro Inputs Testing - Plant Health Use Case

For companies developing crop protection products, biologicals, or fertilizers, field trials are where performance is truly proven. Every season, countless experimental plots are monitored to answer a critical question: “Does this product deliver measurable impact under real-world conditions?” But when it comes to evaluating product efficacy, the industry still relies heavily on manual assessments. Technicians walk rows, visually estimating disease severity or plant vigor. These evaluations are often subjective, time-consuming, and can miss the subtle differences that matter most for regulatory approval and market positioning. Minor variations between treatments can easily go unnoticed, leading to less reliable dose–response curves and longer product development timelines. This is where Literal brings a new standard. Literal is a digital phenotyping system that uses AI-powered imagery to transform how agro-input companies measure plant response during field trials. Mounted on proximal platforms, Literal captures high-resolution canopy images directly in the field. Its algorithms then quantify 11 validated plant health traits — such as green leaf area, senescence, and disease proxy indicators — providing a precise, objective measure of the percentage of healthy plants across every plot. Unlike traditional scoring, Literal’s data is repeatable, standardized, and regulatory-ready. Subtle variations between treatments that might escape the human eye become visible and quantifiable, allowing teams to build robust dose–response curves and confidently differentiate between formulations, application rates, or modes of action. For product developers, this translates into faster, clearer decision-making. Trial data can be analyzed with advanced statistical tools, highlighting treatment performance differences early in the development pipeline. Regulatory dossiers are strengthened by objective, image-based measurements, which can help accelerate submissions and reduce time to market. Literal is particularly valuable for biological solutions, where efficacy differences are often more nuanced than for conventional pesticides. By detecting and quantifying these fine differences, Literal helps R&D teams demonstrate real field performance with a level of precision that builds credibility with regulators and customers alike. Whether you are testing a new fungicide, evaluating biostimulants, or fine-tuning fertilizer dosages, Literal enables you to measure what matters — objectively, efficiently, and at scale. It’s not just about capturing images; it’s about turning plant response into actionable data that drives better product decisions. 👉 Powered by AI. Driven by Agronomy. Literal bridges the gap between field realities and digital precision — helping agro-input companies bring innovations to market faster, with stronger proof of efficacy. Discover more at : www.hiphen-literal.com