he plant functional performance in high throughput

Studying and examining whole-plant properties today is still as challenging as ever, through all the technological advancement. It is harder to learn the plant status in real-time, and even harder to do so in many plants simultaneously. Understanding the plant functional performance in high throughput to overcome long testing periods during research and development cycles, is one of the main bottlenecks today in Agriculture R&D.

In efforts to provide a solution to these challenges, Plant DiTech developed the PlantArray phenotyping and diagnostic system, a platform for measurement and analysis of whole-plants characteristics and performance -in real-time, simultaneously, and continuously to all the plants in the array. This enables Agro-Companies to release products to market much earlier, and with high confidence of reaching their targets.

The PlantArray system is a fully automated and sensor-based system which is used to conduct research and simultaneous trials on water-use, productivity, and growth aspects of the whole-plant. In addition, it can measure and analyze phenotyping and environmental effects to predict yield performance under various environmental stresses. Some of the plant traits being measured are precise plant water-loss (transpiration), plant biomass gain, water-use-efficiency, nutrients effect, root water-uptake, stomatal conductance and more.

Who runs the world? DATA

The Digital Age had brought along many innovative systems, but more importantly, it masters data collection. In efforts to accelerate AG-research with fast and precise physiology phenotyping tools, Plant-DiTech developed the cloud-based software SPAC (Soil-Plant-Atmosphere-Continuum) Analytics. SPAC Analytics performs real-time statistics, analysis based on plants productivity and growth predictions.

The process of data analyzing begins with an input from a given experiment (either during or following it). The input is derived from various sources and sensors and is basically a graphical and statistical representation of correlations from different growth and yield attributes, and other environmental parameters. The software enables to conduct real-time flexible detailed analysis based on various statistical tools, such as ANOVA and T-Test. Further, SPAC Analytics provides real-time database to make crucial changes in your experiments WHILE they are conducted. As a result, much time, money, and efforts are being saved.

Introducing the new and improved version of SPAC Analytics:

Users can now export data easily and import additional measurements from manual or digital sources.

SPAC Analytics analyzes these measurements alongside plant traits and environmental sensor data.

This integration provides a more complete view of plant performance under changing conditions.

The software also includes new traits, such as plant resilience and water reabsorption.

Resilience describes the daily rate at which a plant returns to its pre-stress activity after experiencing stress.

Understanding a plant’s recovery ability provides valuable insights into its productivity potential and stress tolerance.

In addition, Plant-DiTech’s software can calculate important parameters under different growing conditions.

One example is whole-plant water balance, which compares water outflow with water inflow.

Outflow describes water moving from the plant into the atmosphere through transpiration.

Inflow describes water moving from the soil into the plant.

Monitoring this balance helps researchers detect developing water stress and evaluate plant responses.