REMOTE SENSING & UAVS

Sensors that can quantify factors related to crop, animal, and woodland production and environmental management are the foundations of digital management.  When those sensors are interconnected and communicate in real time, that concept is Internet of Things, or IoT.  Sensors can be mounted on satellites, airplanes, unmanned aerial vehicles or drones, ground-driven implements, or in fixed or semi-fixed locations on plants or animals or in the soil.  Common measurements include geographic coordinates, electromagnetic reflectance within the visible, near infrared, thermal, and other spectrums, temperature, pressure, speed, resistance, vibration, and humidity.

featured article

Digital Forestry: Key Developments in Aerial Remote Sensing

Songlin Fei, professor of forestry and natural resources; Joe Hupy, associate professor of aviation technology; and Jinha Jung, assistant professor of civil engineering, all of Purdue University, present a webinar titled Digital Forestry: Key Developments in Aerial Remote Sensing. In this webinar, Fei, Hupy and…

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Current Posts

IoT Networks: Sensors and Data Visualization

Nithin Raghunathan, research scientist, and Chariloas Mousoulis, senior research scientist, from Purdue University recently presented as part of the Data Driven Agriculture webinar series. Their presentation featured an overview of the sensors and the IoT networks being used in ag and manufacturing deployments in the 10 counties around Purdue that make up the Wabash Heartland…

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Data Driven Agriculture Webinar Series

During the Spring 2021 semester, Purdue Agriculture hosted a weekly webinar series featuring experts in data science and digital agriculture at Purdue University. Each Thursday from February through May, the Data Driven Agriculture webinars explored ways digital agriculture and data science can impact agriculture today and into the future. “Building on the momentum of last…

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Key Terms

Application Map

A plan showing the location and rate at which inputs such as seeds, fertilizers, or pesticides will be applied across a field, derived manually or automatically from analysis of yield maps or according to field grids or zones.

Inverse distance weighting

An interpolation method that gives more weight to known data that is near the point of estimation than those that are farther away.

Data Layer

A set of related information on a GIS map. A map can have many layers to present different types of information. For example, the first layer of a map may be a satellite image of an area. The next layer may have only lines that represent roads or highways. The next layer may contain topographic information.

Precision

The repeatability of multiple measurements of the same object or condition.