Derek M. Heeren
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View article: Scalable machine learning framework for adaptive irrigation management of maize and soybean in the U.S. Midwest
Scalable machine learning framework for adaptive irrigation management of maize and soybean in the U.S. Midwest Open
View article: Crop2Cloud platform: Real-time data integration for agricultural water monitoring
Crop2Cloud platform: Real-time data integration for agricultural water monitoring Open
View article: Geophysical tools for agricultural management: Trends, challenges, and opportunities
Geophysical tools for agricultural management: Trends, challenges, and opportunities Open
Agrogeophysics is a convergence of proximal soil sensing and hydrogeophysics in which geophysical methods are used to describe soil patterns and dynamics that shape agronomic management (including precision agriculture). To fully realize i…
View article: Field Calibration of a Time-Domain Reflectometry Sensor for Water Content Measurement in Soils with Low Content of Coarse Fragments
Field Calibration of a Time-Domain Reflectometry Sensor for Water Content Measurement in Soils with Low Content of Coarse Fragments Open
Comparison of soil water sensors for irrigation scheduling requires an accurate reference measurement. An Acclima TDR-310H soil water content sensor was calibrated and validated for sand, loamy sand, clay loam, sandy clay loam, and sandy l…
View article: Crop2cloud Platform: Real-Time Data Integration for Agricultural Water Monitoring
Crop2cloud Platform: Real-Time Data Integration for Agricultural Water Monitoring Open
View article: Scalable Machine Learning Framework for Adaptive Irrigation Management in Commercial Crop Fields
Scalable Machine Learning Framework for Adaptive Irrigation Management in Commercial Crop Fields Open
View article: Optimizing In-Season Nitrogen Management Through Satellite–Guided Fertigation in Commercial Maize Production
Optimizing In-Season Nitrogen Management Through Satellite–Guided Fertigation in Commercial Maize Production Open
View article: Optimizing In-Season Nitrogen Management Through Satellite–Guided Fertigation in Commercial Maize Production
Optimizing In-Season Nitrogen Management Through Satellite–Guided Fertigation in Commercial Maize Production Open
View article: Devising optimized maize nitrogen stress indices in complex field conditions from UAV hyperspectral imagery
Devising optimized maize nitrogen stress indices in complex field conditions from UAV hyperspectral imagery Open
Nitrogen Sufficiency Index (NSI) is an important nitrogen (N) stress indicator for precision N management. It is usually calculated using variables such as leaf chlorophyll meter readings (SPAD) and vegetation indices (VIs). However, no co…
View article: Internet of Things-Based Automated Solutions Utilizing Machine Learning for Smart and Real-Time Irrigation Management: A Review
Internet of Things-Based Automated Solutions Utilizing Machine Learning for Smart and Real-Time Irrigation Management: A Review Open
This systematic review critically evaluates the current state and future potential of real-time, end-to-end smart, and automated irrigation management systems, focusing on integrating the Internet of Things (IoTs) and machine learning tech…
View article: Groundwater Recharge Response to Reduced Irrigation Pumping: Checkbook Irrigation and the Water Savings Payment Plan
Groundwater Recharge Response to Reduced Irrigation Pumping: Checkbook Irrigation and the Water Savings Payment Plan Open
Ongoing investments in irrigation technologies highlight the need to accurately estimate the longevity and magnitude of water savings at the watershed level to avoid the paradox of irrigation efficiency. This paradox arises when irrigation…
View article: Estimation of corn nitrogen demand under different irrigation conditions based on UAV multispectral technology
Estimation of corn nitrogen demand under different irrigation conditions based on UAV multispectral technology Open
Integrating water and nitrogen (N) management is critical to addressing contemporary challenges in agricultural development. This research explored using multispectral sensors mounted on unmanned aerial vehicles (UAVs) to monitor N demand …
View article: Integrating UAV hyperspectral data and radiative transfer model simulation to quantitatively estimate maize leaf and canopy nitrogen content
Integrating UAV hyperspectral data and radiative transfer model simulation to quantitatively estimate maize leaf and canopy nitrogen content Open
Crop nitrogen (N) content reflects crop nutrient status and plays an important role in precision nutrient management. Accurate crop N content estimation from remote sensing has been well documented. However, the robustness (i.e., the abili…
View article: Development of a Fuzzy Variable Rate Irrigation Control System Based on Remote Sensing Data to Fully Automate Center Pivots
Development of a Fuzzy Variable Rate Irrigation Control System Based on Remote Sensing Data to Fully Automate Center Pivots Open
Growing agricultural demands for the global population are unlocking the path to developing innovative solutions for efficient water management. Herein, an intelligent variable rate irrigation system (fuzzy-VRI) is proposed for decision-ma…
View article: Water-energy-food linkages in community smallholder irrigation schemes: Center pivot irrigation in Rwanda
Water-energy-food linkages in community smallholder irrigation schemes: Center pivot irrigation in Rwanda Open
Water, energy, and food are linked in intricate ways in irrigated agriculture and understanding the interplay of these components is crucial for sustainable and profitable crop production, particularly in smallholder setting such as in sub…
View article: Toward automated irrigation management with integrated crop water stress index and spatial soil water balance
Toward automated irrigation management with integrated crop water stress index and spatial soil water balance Open
Decision support systems intended for precision irrigation aim at reducing irrigation applications while optimizing crop yield to achieve maximum crop water productivity (CWP). These systems incorporate on-site sensor data, remote sensing …
View article: Evaluation of artificial intelligence algorithms with sensor data assimilation in estimating crop evapotranspiration and crop water stress index for irrigation water management
Evaluation of artificial intelligence algorithms with sensor data assimilation in estimating crop evapotranspiration and crop water stress index for irrigation water management Open
Irrigation water management using automated irrigation decision support system (IDSS) as a smart irrigation scheduling tool can improve water use efficiency and crop production, especially under circumstances of limited water supply. The c…
View article: Soybean response under climatic scenarios with changed mean and variability under rainfed and irrigated conditions in major soybean-growing states of the USA
Soybean response under climatic scenarios with changed mean and variability under rainfed and irrigated conditions in major soybean-growing states of the USA Open
Climate change has an impact on soybean production in the USA, necessitating thorough impact studies across broad geographic areas and extended periods to develop appropriate coping strategies. This study investigates the simulated respons…
View article: Diurnal Soybean Water Stress Computed Using Statistical-Based Thermal Indices With High-Frequency Unmanned Aircraft Flights
Diurnal Soybean Water Stress Computed Using Statistical-Based Thermal Indices With High-Frequency Unmanned Aircraft Flights Open
Highlights High-frequency UAS thermal data can identify the temporal nature of the spatial canopy stress patterns for soybean. Thermal indices were calculated using the statistical approach from the lower and upper bounds of confidence int…
View article: Cover crop planting practices determine their performance in the U.S. Corn Belt
Cover crop planting practices determine their performance in the U.S. Corn Belt Open
Cover crop growing periods in the western U.S. Corn Belt could be extended by planting earlier. We evaluated both pre‐harvest broadcast interseeding and post‐harvest drilling of the following cover crops: (a) cereal rye ( Secale cereale L.…
View article: Real-time irrigation scheduling of maize using Degrees Above Non-Stressed (DANS) index in semi-arid environment
Real-time irrigation scheduling of maize using Degrees Above Non-Stressed (DANS) index in semi-arid environment Open
Irrigation scheduling methods have been used to determine the timing and amount of water applied to crops. Scheduling techniques can include measurement of soil water content, quantification of crop water use, and monitoring of crop physio…
View article: Crop response to thermal stress without yield loss in irrigated maize and soybean in Nebraska
Crop response to thermal stress without yield loss in irrigated maize and soybean in Nebraska Open
Thermal sensing provides rapid and accurate estimation of crop water stress through canopy temperature data. Canopy temperature is highly dependent on the transpiration rate of the leaves. It is usually assumed that any reduction in crop e…
View article: Unmanned Aerial System-Based Data Ferrying over a Sensor Node Station Network in Maize
Unmanned Aerial System-Based Data Ferrying over a Sensor Node Station Network in Maize Open
Agriculture is considered a hotspot for wireless sensor network (WSN) facilities as they could potentially contribute towards improving on-farm management and food crop yields. This study proposes six designs of unmanned aerial system (UAS…
View article: Real-Time Irrigation Scheduling of Maize Using Degrees Above Non-Stressed (Dans) Index in Semi-Arid Environment
Real-Time Irrigation Scheduling of Maize Using Degrees Above Non-Stressed (Dans) Index in Semi-Arid Environment Open
View article: Water-Energy-Food Linkages in Shared Smallholder Irrigation Schemes
Water-Energy-Food Linkages in Shared Smallholder Irrigation Schemes Open
View article: Burle and Mead data from Nebras areas
Burle and Mead data from Nebras areas Open
Burle and Mead data from Nebras areas. from June 2016 - Sept. 2016
View article: Sustainable irrigation based on co-regulation of soil water supply and atmospheric evaporative demand
Sustainable irrigation based on co-regulation of soil water supply and atmospheric evaporative demand Open
View article: Development of a Fuzzy Variable Rate Irrigation Control System Based on Remote Sensing Data to Fully Automate Center Pivots
Development of a Fuzzy Variable Rate Irrigation Control System Based on Remote Sensing Data to Fully Automate Center Pivots Open
Growing agricultural demands for the global population are unlocking the path to developing innovative solutions for efficient water management. Herein, an intelligent variable rate irrigation system (fuzzy-VRI) is proposed for rapid decis…
View article: Challenges and opportunities in precision irrigation decision-support systems for center pivots
Challenges and opportunities in precision irrigation decision-support systems for center pivots Open
Irrigation is critical to sustain agricultural productivity in dry or semi-dry environments, and center pivots, due to their versatility and ruggedness, are the most widely used irrigation systems. To effectively use center pivot irrigatio…
View article: Glossary
Glossary Open
allowable depletion: That part of soil water stored in the plant root zone managed for use by plants, usually expressed as equivalent depth of water in mm (acre-inches per acre, or inches).application efficiency (Ea): The ratio of the aver…