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Estimation of cotton yield with varied irrigation and nitrogen treatments using aerial multispectral imagery

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International Journal of Agricultural and Biological Engineering 2013年第2期6卷 37-41页

作者： Yanbo Huang Ruixiu Sui Steven J.Thomson daniel k.fisher Crop Production Systems Research Unit Agricultural Research ServiceUnited States Department of AgricultureStonevilleMS 38776USA

Cotton yield varies spatially within a *** variability can be caused by various production inputs such as soil properties,water management,and fertilizer *** multispectral imaging is capable of providing data and information to study effects of the inputs on yield qualitatively and quantitatively in a timely and cost-effective fashion.A 10-ha cotton field with irrigation and non-irrigation 2×2 blocks was used in this *** nitrogen application treatments were randomized with two replications within each *** plant canopy was closed,airborne multispectral images of the field were acquired using a 3-CCD MS4100 *** images were processed to generate various vegetation *** vegetation indices were evaluated for the best performance to characterize *** effect of irrigation on vegetation indices was *** for yield estimation were developed and verified by comparing the estimated and actual *** indicated that ratio of vegetation index(RVI)had a close relationship with yield(R^(2)=0.47).Better yield estimation could be obtained using a model with RVI and soil electrical conductivity(EC)measurements of the field as explanatory variables(R^(2)=0.53).This research demonstrates the capability of aerial multispectral remote sensing in estimating cotton yield variation and considering soil properties and nitrogen.

关键词： remote sensing multispectral imagery cotton yield nitrogen irrigation soil properties

温室智能装备系列之九十五开源Web实时传感技术在美国温室的应用现状

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农业工程技术 2017年第22期37卷 63-66页

作者：马伟 daniel k.fisher 北京农业智能装备技术研究中心北京100097 美国农业部作物生产系统研究中心 78756

ThinkSpeak是一款美国流行的开源web技术,通过互联网协议对传感器实时数据进行存储,能通过数据驱动曲线或图表来动态显示,也可以通过网页链接在云端下载数据,实现历史数据的调、用和恢复[1]。系统有一个扩展性很好的微型主板模块能通过... 详细信息

ThinkSpeak是一款美国流行的开源web技术,通过互联网协议对传感器实时数据进行存储,能通过数据驱动曲线或图表来动态显示,也可以通过网页链接在云端下载数据,实现历史数据的调、用和恢复[1]。系统有一个扩展性很好的微型主板模块能通过手机卡的网络,WiFi或蓝牙无线技术连接到当地网络,

关键词：实时数据传感技术美国开源 Web 温室十五装备

温室智能装备系列之九十六新型背负式电动喷药机的设计

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农业工程技术 2017年第25期37卷 41-42页

作者：张梅 daniel k.fisher 马伟中国农业大学水利与土木工程学院北京100083 作物生产系统研究中心美国农业部78756 北京农业智能装备技术研究中心北京100097

中国小型温室的喷药作业大多采用背负式喷药,这种喷药方式具有简单轻便,适合单人操作的特点。背负式喷药方式主要有3种,一是手动按压,劳动强度大;二是高压气瓶加压,成本高,多用于短时间科研喷雾使用;三是电动加压,具有环保和省力的特点... 详细信息

中国小型温室的喷药作业大多采用背负式喷药,这种喷药方式具有简单轻便,适合单人操作的特点。背负式喷药方式主要有3种,一是手动按压,劳动强度大;二是高压气瓶加压,成本高,多用于短时间科研喷雾使用;三是电动加压,具有环保和省力的特点。电动加压的优势是喷雾压力恒定在0.3~0.4 MPa之间,雾滴均匀性和喷洒效率都优于手动加压。因此该装置将电动加压技术应用在背负式喷药装备上,并针对原有的薄弱技术环节进行优化设计,从而达到减轻药械自重40%以上,提高喷雾续航时间3 h以上的效果。

关键词：优化设计喷药机背负式电动装备温室智能喷药方式

温室智能装备系列之九十九新型开源云端温室茄子株高实时测量系统的开发

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农业工程技术 2017年第34期37卷 56-58页

作者：马伟 daniel k.fisher Efren Ford 北京农业智能装备技术研究中心北京100097 作物生产系统研究中心美国农业部 78756

温室反季节果菜栽培有很好的经济效益,茄子是重要的果菜品种。茄子的株高能反映茄子的产量和长势,监测株高可以获得第一手的茄子生长数据。数据在云端共享能提升数据的应用质量,基于开源的平台让更多的用户共同完成茄子的生长监控,对于... 详细信息

温室反季节果菜栽培有很好的经济效益,茄子是重要的果菜品种。茄子的株高能反映茄子的产量和长势,监测株高可以获得第一手的茄子生长数据。数据在云端共享能提升数据的应用质量,基于开源的平台让更多的用户共同完成茄子的生长监控,对于规模化生产有很大的帮助。文章提出了一种开源云端温室茄子株高实时测量系统,对搭建完的系统进行初步测试,结果显示该系统能准确监测温室茄子冠层株高。

关键词：温室茄子智能装备实时测量系统九十九

Regulator of G protein signaling 6 mediates exercise-induced recovery of hippocampal neurogenesis,learning,and memory in a mouse model of Alzheimer’s disease

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Neural Regeneration Research 2025年第10期20卷 2969-2981页

作者： Mackenzie M.Spicer Jianqi Yang daniel Fu Alison N.DeVore Marisol Lauffer Nilufer S.Atasoy Deniz Atasoy Rory A.fisher Department of Neuroscience and Pharmacology University of Iowa Carver College of MedicineIowa CityIAUSA Iowa Neuroscience Institute University of Iowa Carver College of MedicineIowa CityIAUSA Interdisciplinary Graduate Program in Molecular Medicine University of Iowa Carver College of MedicineIowa CityIAUSA Neural Circuits and Behavior Core University of Iowa Carver College of MedicineIowa CityIAUSA

Hippocampal neuronal loss causes cognitive dysfunction in Alzheimer’s *** hippocampal neurogenesis is reduced in patients with Alzheimer’s *** stimulates adult hippocampal neurogenesis in rodents and improves memory and slows cognitive decline in patients with Alzheimer’s ***,the molecular pathways for exercise-induced adult hippocampal neurogenesis and improved cognition in Alzheimer’s disease are poorly ***,regulator of G protein signaling 6(RGS6)was identified as the mediator of voluntary running-induced adult hippocampal neurogenesis in ***,we generated novel RGS6fl/fl;APP_(SWE) mice and used retroviral approaches to examine the impact of RGS6 deletion from dentate gyrus neuronal progenitor cells on voluntary running-induced adult hippocampal neurogenesis and cognition in an amyloid-based Alzheimer’s disease mouse *** found that voluntary running in APP_(SWE) mice restored their hippocampal cognitive impairments to that of control *** cognitive rescue was abolished by RGS6 deletion in dentate gyrus neuronal progenitor cells,which also abolished running-mediated increases in adult hippocampal *** hippocampal neurogenesis was reduced in sedentary APP_(SWE) mice versus control mice,with basal adult hippocampal neurogenesis reduced by RGS6 deletion in dentate gyrus neural precursor ***6 was expressed in neurons within the dentate gyrus of patients with Alzheimer’s disease with significant loss of these RGS6-expressing ***,RGS6 mediated voluntary running-induced rescue of impaired cognition and adult hippocampal neurogenesis in APP_(SWE) mice,identifying RGS6 in dentate gyrus neural precursor cells as a possible therapeutic target in Alzheimer’s disease.

关键词： adult hippocampal neurogenesis Alzheimer’s disease dentate gyrus exercise learning/memory neural precursor cells regulator of G protein signaling 6(RGS6)

Rapid Deployment of Internet-Connected Environmental Monitoring Devices

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Advances in Internet of Things 2014年第4期4卷 46-54页

作者： daniel k. fisher USDA Agricultural Research Service Crop Production Systems Research Unit Stoneville Mississippi USA

Advances in electronic sensing and monitoring systems and the growth of the communications infrastructure have enabled users to gain immediate access to information and interaction with physical devices. To facilitate the uploading, viewing, and sharing of data via the internet, while avoiding the complexities and expense of creating personal web servers, a number of service providers have created websites offering free data hosting and viewing capabilities. Simple setup and configuration routines and available application programming interfaces allow users to quickly and easily interface sensing and monitoring devices to the internet. To demonstrate the ease and feasibility of deploying internet-connected devices, an urban landscape environmental monitoring system, consisting of two wireless field sensing systems and a wireless central receiver, was developed. The field-data sensing units consisted of Arduino microcontroller platforms, sensors, and Xbee radio modems, while the receiver consisted of an Arduino microcontroller, Xbee radio, and Ethernet module connected to an internet modem. The receiver collected and stored data from the wireless transmitters, and uploaded the data to the Xively Cloud Services data hosting and sharing website. Real-time and archived sensor data were then made available for public viewing via the internet and a web browser. Data-sharing services such as Xively provide rapid and convenient means of developing internet-accessible data-collection and viewing applications, enabling enhanced access to the Internet of Things.

关键词： Arduino Xively Wireless Sensors Microcontroller

Mobile Open-Source Plant-Canopy Monitoring System

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Modern Instrumentation 2017年第1期6卷 1-13页

作者： daniel k. fisher Yanbo Huang USDA Agricultural Research Service Crop Production Systems Research Unit Stoneville MS USA

Many agricultural applications, including improved crop production, precision agriculture, and phenotyping, rely on detailed field and crop information to detect and react to spatial variabilities. Mobile farm vehicles, such as tractors and sprayers, have the potential to operate as mobile sensing platforms, enabling the collection of large amounts of data while working. Open-source hardware and software components were integrated to develop a mobile plant-canopy sensing and monitoring system. The microcontroller-based system, which incorporated a Bluetooth radio, GPS receiver, infrared temperature and ultrasonic distance sensors, micro SD card storage, and voltage regulation components, was developed at a cost of US$292. The system was installed on an agricultural vehicle and tested in a soybean field. The monitoring system demonstrates an application of open-source hardware to agricultural research and provides a framework for similar or additional sensing applications.

关键词： Canopy Temperature Plant height Arduino Microcontroller Sensors

Testing an Open-Source Multi Brand Sensor Node to Monitor Variability of Environmental Conditions inside a Greenhouse

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Agricultural Sciences 2021年第3期12卷 159-180页

作者： Reginald S. Fletcher daniel k. fisher United States Department of Agriculture Agricultural Research Service Crop Production Systems Research Unit Stoneville USA Sustainable Water Management Research Unit Stoneville USA

A research project was undertaken to collect data to study the variability in environmental parameters inside a greenhouse. The specific objectives of the project were to 1) develop the network of open-source sensor nodes, 2) evaluate the performance of the individual sensors, and 3) quantify the spatial variability of environmental parameters within the greenhouse. The sensor system consisted of a sensor node equipped with three temperature and relative humidity sensors, one light-level sensor, one barometric pressure sensor, AA batteries, and a microcontroller board with a built-in radio to transfer the data wirelessly. The sensors were controlled with open-source technology. Twelve sensor nodes were fabricated and placed at different locations in a greenhouse to evaluate variability in sensor location and environmental parameters. Data collected during February 2019 were used to test the sensors. Heatmaps were employed to assess the variability of the measurements. Variability in greenhouse temperature, relative humidity, and light level conditions was identified with the sensor system. Overall, environmental measures based on time of day appeared to be a better grouping mechanism for analysis than sensor location in the greenhouse. Similar patterns were observed between the different sensor manufacturer’s heatmaps for the temperature sensors and relative humidity sensors. This study provided a protocol for developing the inexpensive multi-sensor sensor node and showed that automated measurements obtained with the system could help monitor variation in a greenhouse setting. The costs of the system components fabricated for this study included US$76 for each sensor node and US$55 for the gateway, totaling US$967 for the 12-node study described.

关键词： Arduino Microcontroller LoRa Radio Temperature Humidity Light Level Clustering Heatmaps

Open-Source Hardware Is a Low-Cost Alternative for Scientific Instrumentation and Research

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Modern Instrumentation 2012年第2期1卷 8-20页

作者： daniel k. fisher Peter J. Gould US Forest Service Pacific Northwest Research Station Olympia USA USDA Agricultural Research Service Stoneville USA

Scientific research requires the collection of data in order to study, monitor, analyze, describe, or understand a particular process or event. Data collection efforts are often a compromise: manual measurements can be time-consuming and labor-intensive, resulting in data being collected at a low frequency, while automating the data-collection process can reduce labor requirements and increase the frequency of measurements, but at the cost of added expense of electronic data-collecting instrumentation. Rapid advances in electronic technologies have resulted in a variety of new and inexpensive sensing, monitoring, and control capabilities which offer opportunities for implementation in agricultural and natural-resource research applications. An Open Source Hardware project called Arduino consists of a programmable microcontroller development platform, expansion capability through add-on boards, and a programming development environment for creating custom microcontroller software. All circuit-board and electronic component specifications, as well as the programming software, are open-source and freely available for anyone to use or modify. Inexpensive sensors and the Arduino development platform were used to develop several inexpensive, automated sensing and datalogging systems for use in agricultural and natural-resources related research projects. Systems were developed and implemented to monitor soil-moisture status of field crops for irrigation scheduling and crop-water use studies, to measure daily evaporation-pan water levels for quantifying evaporative demand, and to monitor environmental parameters under forested conditions. These studies demonstrate the usefulness of automated measurements, and offer guidance for other researchers in developing inexpensive sensing and monitoring systems to further their research.

关键词： Open-Source Hardware Arduino Microcontrollers Sensors Datalogger