soil data management Articles
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Digital soil-class mapping from proximal and remotely sensed data at the field level
Effective agronomic management at the field level requires an understanding of the spatial distribution of soil because edaphological processes are a function of interrelationships among the physical and chemical properties. In precision agriculture, these interrelationships need to be considered to create soil management classes. In order to identify management classes, the age-old questions ...
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Gas Sensing and the Internet of Things Sensors
What is the Internet of Things? You may have heard of the Internet of Things (IoT) as it is a growing topic of conversation and interest as technology advances, which is changing the way we live. It is the concept of connecting any object to the Internet and other connected devices. The network of connected devices collect and share data about the way they are used and about the environment ...
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Large-scale contaminated soil investigations using Environmental Data Management Software
The Problem - Data Management Challenges Large-scale contaminated soil investigations generate hundreds, often thousands, of samples. Soil samples are collected from multiple locations, at varying depths, over many days, and by different people. Each sample is then tested for a suite of parameters and compared to regulatory guidelines to determine whether it is contaminated. This generates a ...
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Aquacrop—the FAO crop model to simulate yield response to water: ii. Main algorithms and software description
The AquaCrop model was developed to replace the former FAO I&D Paper 33 procedures for the estimation of crop productivity in relation to water supply and agronomic management in a framework based on current plant physiological and soil water budgeting concepts. This paper presents the software of AquaCrop for which the concepts and underlying principles are described in the companion paper ...
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Using precision data to optimize results
Every grower and agronomist will tell you that growing a successful crop is not easy. This is due to many factors outside of their control that ultimately determine the outcome of the season, such as weather and the rise of input costs, that can decide a season but that cannot be influenced. Regardless of this, the same four basic process underpin every growing season: Planning In-season ...
By Agworld
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