Precision Agriculture Policy & Adoption Outlook 2023

Precision agriculture is being branded as Agriculture 4 – the next revolution to make food production more profitable, sustainable, and environmentally friendly. Even though its adoption is uneven, the use of precision agriculture has been increasing consistently for the last several years. This article will review precision agriculture technologies, their adoption, and how precision agriculture… Continue reading…

Plant Canopy Imager Live Training | CID Bio-Science

We have designed this training to take you and your team from first use to a high level of comfort with the device’s functionality in the field. This training is also a great opportunity for current and prospective users of the Plant Canopy Imager to get their questions answered and explore the specifics of device… Continue reading…

Spectral Imaging and Disease Detection in Eggplant

Disease Detection in Eggplant A group of crop scientists, Srivastava, Roy, Kimothi, Kumar, Sehgal, Mamatha, and Ray wanted to find the vegetative indices and hyperspectral bands with which people could monitor diseases in eggplant, also known as brinjal. Eggplant (Solanum melongena) is the fourth most used fresh produce commodity in the world after potato, onion, and tomato.… Continue reading…

Designing complex orchard systems with user-focused technology

As a Senior Agronomy Scientist at Mars inc., Rany Agustina Susanti and her team extensively used the CI-110 Plant Canopy Imager in their work to improve efficiency of high productivity cacao farms using orchard intensive cropping systems.

Canopy Analysis in Agriculture: Outdoor and Greenhouse Applications

Canopy Analysis in Agriculture: Outdoor and greenhouse applications for disease detection, citrus greening & a comparison of LI-COR’s Canopy Analyzer to CID’s Plant Canopy Imager

Canopy Imaging & Analysis Webinar: Made in the Shade – How 11 Research Studies Us Canopy Analysis

In this webinar, application scientist, Galen George and researchers Derek Godwin (Oregon State University) and Brendon Anthony (Colorado State University) talk about the myriad ways the CID Bio-Science CI-110 Plant Canopy Imager can be used to collect and quanitfy data in environmental and agricultural research.