Data innovation is helping agriculture move from guesswork to real-time decision-making. 🌱
Olivier Begerem, CEO of Sensie, explains how AI & plant-mounted sensors detect crop stress before it is visible, improving irrigation decisions.
Read the interview👇
https://t.co/jGg486m1HX
Better data drives better returns.
A smart sensor developed by the #Australian#tech company Rubens Technologies delivers real-time insights that improve efficiency, reduce costs, and support smarter decisions in precision #agriculture#market
https://t.co/VedvWZSmZd
Advancing agricultural #research starts with accurate, reliable crop measurements.
Rubens Technologies' sensor brings a new level of #precision to field phenotyping by rapidly measuring key #crop parameters.
https://t.co/VedvWZSmZd
Better data drives better returns. #Australian#tech company Rubens Technologies' sensor platform delivers real-time insights that improve efficiency, reduce costs, and support smarter decisions in precision agriculture market.
#AgTech#Innovation
https://t.co/VedvWZSmZd
🚀 NirPy Research is now offering Consultancy Services on chemometrics, spectroscopy, machine learning, calibration models, quality control systems, and custom software.
https://t.co/juilqOzEq7
#Chemometrics#DataScience#MachineLearning#Spectroscopy#Python
Yield estimation is critical to any cropping discussion. Join @VicGovAg Dr Zel Coetzee, James Underwood Green Atlas, Daniel Pelliccia Rubens Technologies & Tristan Steventon StevTech for a discussion on yield estimation. See our amazing speakers here https://t.co/kqZnsK66hM
Based on our previous work in the field, this season we are using Rubens Technologies to estimate and predict the apple harvest through non-destructive analysis. Making growers' work more practical and agile is also a strategy of our research group.
Join the FREE NIRPY Webinars with Dr. Daniel Pelliccia and expert guests to learn practical chemometrics, Python for NIR data analysis, model validation, and real-world spectroscopy workflows.
Register for upcoming webinars: https://t.co/AL81yCIu7N
#Spectroscopy#Python
A new tutorial from NirPy Research: The SPXY algorithm.
SPXY is a deterministic splitting #algorithm designed to incorporate information from both spectra and response.
#Python#Data#spectrometry
https://t.co/EitIuii0vu
Australian company Instruments & Data Tools works on next-gen X-ray and phase-contrast imaging, combining optics, simulation, and custom hardware/software.
If you're building or scaling innovative imaging systems, check here 👇
https://t.co/lVjfK9YDJk
Synchrotron Light: A Physics Journey from Laboratory to Cosmos is full journey through physics, starting from the basics and building up to big cosmic ideas, all while linking lab experiments to space 🚀
https://t.co/NGTaoRDQD4
🚨New tutorial live from NIRPY Research!
Learn how to calculate information entropy for NIR spectra and apply it as a robust criterion for optimal smoothing in your spectral analysis.
👉https://t.co/1MTeUwn3xO
#NIRS#Chemometrics#Spectroscopy#SignalProcessing#Python
Rubens Technologies has partnered with @AgroFreshWorld to integrate its hand-held spectral scanner into the #FreshCloud platform. With a powerful #AI#Database built over many years, Rubens’ Technology is setting new standards in precision agriculture.
https://t.co/66mruw0ADw
Together, @AgroFreshWorld FreshCloud platform and nondestructive fruit scanner developed by Rubens Technology are enhancing the way fruit quality and maturity are detected—right from the orchard to the packhouse. 🍎
#agtech#CloudComputing#IoT
https://t.co/ZG59WG8jff
UK biotech startup, @lytegrouk developed a solution that converts the pulp of waste bananas into a proprietary liquid supplement to turbocharge metabolic processes offering high-value for Australia’s distilling industry
#Innovation
https://t.co/GKnxGceRby
Rubens Technology is at the forefront of agricultural #Innovation , providing cutting-edge smart sensors that offer non-destructive, real-time information about the quality and condition of fruits.
@ishs_hort#agriculture#AI#MachineLearning
https://t.co/SzFQi74tZJ