ci-110 Archives - Page 4 of 4

LAI and Nutrient Levels Affect Douglas Fir Regeneration

If people were assured it is not invasive, introduced Douglas fir, which produces quality wood and can survive summer drought, could become a sustainable species for future forestry A study compared the regeneration of Douglas fir to other tree species in different native forests and under varying environmental conditions. Douglas fir cannot compete with productive… Continue reading…

How is Human Activity Altering Forest Canopy Dynamics?

Forest disturbance alters microclimate, including light quality and quantity, that can have a far-reaching influence on forest structure and composition. Species need different wavelengths or quality of light for germination. Modulation of light by the canopy influences understory growth. Edge effects favor early succession species. Forests nowadays face unprecedented levels of disturbance from human activity.… Continue reading…

Transpiration, Evapotranspiration, and Leaf Area Index

Increasing evapotranspiration due to global warming is changing the climate. Yet global estimates of transpiration, its major component, are not definite. Global transpiration estimates vary due to different methodologies, approaches, and scales. Including field data in global-scale models is crucial for accurately determining transpiration. Leaf Area Index is an excellent proxy for calculating transpiration by… Continue reading…

5 Ways to Improve Water Use Efficiency

Improving water use efficiency, the ratio of yield to water supplied can boost food production for a growing population without additional use of limited water resources. Water use efficiency for food production can be improved at the farm or plant level. On farms, this can be achieved through optimized management. At the plant level, improvements… Continue reading…

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.