Agricultural Monitoring System Research Articles

Interdisciplinary Decision Support Dashboard: A New Framework for a Tanzanian Agricultural and Ecosystem Service Monitoring System Pilot

Landscape degradation, soil depletion, scarcity of water and fuel resources are common threats to ecosystem services, agricultural production and human livelihoods in the developing world. Observatory or monitoring networks which focus on the dynamics of coupled human-natural systems are challenged by scarce data, data heterogeneity across multiple domains and spatial scales, and complex models required to produce meaningful sustainability indicators. An additional challenge is to visualize these complex data and indicators in a unified, easily understandable framework. This paper presents an environmental sustainability dashboard that integrates GIS data with household and plot surveys, field data and remote sensing imagery to compute a variety of metrics of ecosystem stress. The dashboard, a web-based decision support tool, is a key cyberinfrastructure component designed to satisfy the objectives of a Tanzanian agricultural and ecosystem services monitoring pilot. Based on this experience we discuss our framework and how it can be generalized for building decision support tools, and their associated cyberinfrastructure, for multi-scale, interdisciplinary monitoring networks.

Design of Agriculture Environment Monitoring System Based on Wireless Sensor Network

With the development of agricultural modernization, agricultural environment protection, sensor technology, MEMS, wireless communications, Wireless Sensor Networks have been paid great attention in industry field and our daily life, this paper designs an agricultural environment monitoring system based on wireless sensor networks, and gives the hardware design of sensor nodes and the flowchart of software. In order to meet requirements of agricultural environment monitoring signals, MSP430F149 is chosen as the microprocessor, and CC2420 module acts as the wireless communication module. The system can real-timely monitor agriculture environmental information, such as the temperature, humidity and light intensity.

Research on Agricultural Ecology Video Monitoring Systems Based on the Internet of Things

More attention has been paid to the long-distance video monitoring systems with the development of the Internet of things recently, especially much more increasing concern took place in application of agriculture monitoring systems. An agricultural ecology remote video monitoring system was designed and established using the environment of Microsoft Visual C++6.0 based on Windows XP operating system in this paper. Three key skills including the VFW video capture technology, H.264 video coding/encoding and multi-threading technology are utilized. The transmitting video; audio and text file in the remote video monitoring system are totally realized through VC++ software. The information can be gained; restored and queried through the Internet of things and the ecology garden may also be remote controlled at the same time.

Quantitative Evaluation of Surface Color of Tomato Fruits Cultivated in Remote Farm Using Digital Camera Images

To measure the quantitative surface color information of agricultural products with the ambient information during cultivation, a color calibration method for digital camera images and a remote monitoring system of color imaging using the Web were developed. Single-lens reflex and web digital cameras were used for the image acquisitions. The tomato images through the post-ripening process were taken by the digital camera in both the standard image acquisition system and in the field conditions from the morning to evening. Several kinds of images were acquired with the standard RGB color chart set up just behind the tomato fruit on a black matte, and a color calibration was carried out. The influence of the sunlight could be experimentally eliminated, and the calibrated color information consistently agreed with the standard ones acquired in the system through the post-ripening process. Furthermore, the surface color change of the tomato on the tree in a greenhouse was remotely monitored during maturation using the digital cameras equipped with the Field Server. The acquired digital color images were sent from the Farm Station to the BIFE Laboratory of Mie University via VPN. The time behavior of the tomato surface color change during the maturing process could be measured using the color parameter calculated based on the obtained and calibrated color images along with the ambient atmospheric record. This study is a very important step in developing the surface color analysis for both the simple and rapid evaluation of the crop vigor in the field and to construct an ambient and networked remote monitoring system for food security, precision agriculture, and agricultural research.

An Intelligent Monitoring System for Agriculture Based on Zigbee Wireless Sensor Networks

For meeting the needs of the survey of agriculture environment communication in Hainan Province, an intelligent monitoring system was developed based on ZigBee which consists of four parts: wireless sensor networks, gateway, transmission network, remote monitoring center. A new type network structure which is composed of wireless sensor networks and the transmission network was proposed. This paper is devoted to explanation and illustration for our design of intelligent agricultural monitoring system. The system feasibility and superiority was verified in a simple star topology setup in a botanical garden in QiongZhou University. The sensor nodes can obtain the temperature, humidity and illumination information in real time, and then transferred to the remote monitoring center by the gateway via the transmission network. The test result shows that this intelligent agriculture monitoring system has the useful characteristics of low power consumption, low cost, large network capacity, flexible disposition, and minor influence on the natural environment. It has better actual application value.

Design and Implementation of Agricultral Greenhouse Environmental Monitoring System Based on Internet of Things

During agricultural production, some information (such as temperature,humidty,wind, rainfall and PH of soil) is obtained by manual measurement method,which exists many problems,for example time-consuming, laborious problem.In this paper, the agricultural greenhouse environmental monitoring system is designed based on the Internet of Things,which realized remote realtime monitoring of the environmental information in greenhouse,combining with the Internet,wireless network and mobile network.A wireless sensor network is established for collecting environmental information such as temperature and humidity by using ZigBee protocol.Finally,the collected environmental information is accessed into the internet and mobile network through the control center .The monitoring system can realize the short message warming and real-time monitoring of agriculture enviromental information.

On the design of beacon based wireless sensor network for agricultural emergency monitoring systems

In this paper, we proposed new sensor network architecture with autonomous robots based on beacon mode for real time agriculture monitoring system. The proposed scheme also offers a reliable association with parent nodes and dynamically assigns network addresses. For the large scale multi-sensor processing, the proposed system accomplished the intelligent database, which generates alert messages to the handheld terminal by means of the fire and air-based sensor data. Thus farmers can easily check out the current conditions of crops and farms at anytime and anywhere. Moreover, we also developed a robot platform with network based mobility function for mobile surveillance.

Applications of wireless sensor network in the agriculture environment monitoring

With the development of sensor technology, MEMS,wireless communications and the wide application of wireless sensor, Wireless Sensor Networks have been paid great attention in industry field and our daily life. In order to realize agricultural modernization and agricultural environment protection, this paper designs an agricultural environment monitoring system based on wireless sensor networks, and gives the hardware design of sensor nodes and the flowchart of software. Experiments have proved that the system is low power consumption and has stable running and high precision, which can realize remote real-time monitoring for unattended agriculture environment monitoring.

Design and Implementation of a GPS Guidance System for Agricultural Tractors Using Augmented Reality Technology

Current commercial tractor guidance systems present to the driver information to perform agricultural tasks in the best way. This information generally includes a treated zones map referenced to the tractor’s position. Unlike actual guidance systems where the tractor driver must mentally associate treated zone maps and the plot layout, this paper presents a guidance system that using Augmented Reality (AR) technology, allows the tractor driver to see the real plot though eye monitor glasses with the treated zones in a different color. The paper includes a description of the system hardware and software, a real test done with image captures seen by the tractor driver, and a discussion predicting that the historical evolution of guidance systems could involve the use of AR technology in the agricultural guidance and monitoring systems.

Design and Analysis of Agricultural Remote Monitoring System Based on ZigBee and Embedded Technology

In this paper, a technical solution of remote monitoring system based on ZigBee and embedded technology are focused, designed and analyzed. This technical solution of remote monitoring system is a promising solution for the limitations of traditional agricultural information. In this work, the star form network topology based on the ZigBee was used to achieve the low-power sensor module in the agricultural field. Then such information is delivered to the remote control center through GPRS. According to the received information, the control center sends out the control command in time so that agricultural manage departments or farmers take relative measures. Therefore, costs can be reduced, and crop production can be increased.

Monitoring Global Croplands with Coarse Resolution Earth Observations: The Global Agriculture Monitoring (GLAM) Project

In recent years there has been a dramatic increase in the demand for timely, comprehensive global agricultural intelligence. Timely information on global crop production is indispensable for combating the growing stress on the world’s crop production and for securing both short-term and long-term stable and reliable supply of food. Global agriculture monitoring systems are critical to providing this kind of intelligence and global earth observations are an essential component of an effective global agricultural monitoring system as they offer timely, objective, global information on croplands distribution, crop development and conditions as the growing season progresses. The Global Agriculture Monitoring Project (GLAM), a joint NASA, USDA, UMD and SDSU initiative, has built a global agricultural monitoring system that provides the USDA Foreign Agricultural Service (FAS) with timely, easily accessible, scientifically-validated remotely-sensed data and derived products as well as data analysis tools, for crop-condition monitoring and production assessment. This system is an integral component of the USDA’s FAS Decision Support System (DSS) for agriculture. It has significantly improved the FAS crop analysts’ ability to monitor crop conditions, and to quantitatively forecast crop yields through the provision of timely, high-quality global earth observations data in a format customized for FAS alongside a suite of data analysis tools. FAS crop analysts use these satellite data in a ‘convergence of evidence’ approach with meteorological data, field reports, crop models, attaché reports and local reports. The USDA FAS is currently the only operational provider of timely, objective crop production forecasts at the global scale. These forecasts are routinely used by the other US Federal government agencies as well as by commodity trading companies, farmers, relief agencies and foreign governments. This paper discusses the operational components and new developments of the GLAM monitoring system as well as the future role of earth observations in global agricultural monitoring.

통합 센서 모듈을 이용한 농업 환경 모니터링 시스템 개발

In this paper, we propose the Agricultural Environment Monitoring System based on Sensor Network which can collect information of crop cultivation environment and monitor it in real-time by using various environment sensors. Existing wireless sensor nodes, based on the sensor network, require extra conversion/control module depending on the characteristics. To solve this problem, we developed an integrated sensor module which can integrate various kinds of sensors used to obtain the necessary information for the area under crop cultivation. In addition, we developed sensor networks monitoring system which is suitable for an integrated sensor module. To verify the operating status of the proposed system, an integrated sensor node is installed in the test environment so that it can sense information of the environment and monitor it in real-time.

An Agricultural Monitoring System Based on the Use of Remotely Sensed Imagery and Field Server Web Camera Data

In this study, the authors develop an integrated agricultural monitoring system based on the use of high-spatial-resolution remote sensing imagery and Field Server data for a cabbage field in Tsumagoi, Gunma Prefecture, Japan. The use of the integrated system made it possible to verify the accuracy of cabbage coverage estimated from high-spatial-resolution QuickBird imagery using an unmixing method, because the authors were able to remotely examine cabbages growing in real-time using a Field Server web camera linked to their laboratory via the Internet. Using the developed integrated system, they produced a cabbage coverage map that provided information on cabbage growth that could be used for agricultural land management, particularly with regard to the application of fertilizer and forecasting crop production. The results support the validity of using remote sensing technology in conjunction with a Field Server to manage agricultural crop land.

Remote sensing based agricultural drought assessment in Palar basin of Tamil Nadu state, India

Agricultural drought has been a recurrent phenomenon in many parts of India. Remote sensing plays a vital role in real time monitoring of the agricultural drought conditions over large area, there by effectively supplementing the ground mechanism. Conventional drought monitoring is based on subjective data. The satellite based monitoring such as National Agricultural Drought Assessment and Monitoring System (NADAMS) is based on the crop condition, which is an integrated effect of soil, effective rainfall, weather, etc. Drought causes changes in the external appearance of vegetation, which can clearly be identified (by their changed spectral response) and judged using satellite sensors through the use of vegetation indices. These indices are functions of rate of growth of the plants and are sensitive to the changes of moisture stress in vegetation. The satellite based drought assessment methodology was developed based on relationship obtained between previous year’s Normalised Difference Vegetation Index (NDVI) profiles with corresponding agricultural performance available at district/block level. Palar basin, one of the major river basins in Tamil Nadu state was selected as the study area. The basin covers 3 districts, which contain 44 blocks. Wide Image Field Sensor (WiFS) of 188m spatial resolution from Indian Remote Sensing Satellite (IRS) data was used for the analysis. Satellite based vegetation index NDVI, was generated for Samba and Navarai seasons in the years 1998 and 1999. An attempt has been made to estimate the area under paddy. It was also observed that, there was reduction in the crop area as well as vigour in the vegetation in both Samba and Navarai seasons in 1999 when compared with 1998. Drought severity maps were prepared in GIS environment giving blockwise agricultural water deficiency status.

Agricultural remote monitoring systems based on web‐server‐embedded technology and CDMA service

Agricultural remote monitoring systems based on web‐server‐embedded technology and mobile telecommunication will become a core node technology in sensing network construction for agriculture production in China. This is now possible because of the very many mobile phone users and the widespread availability of digital services in this country. Soil, environmental, and crop information monitoring are important in production management and in decision‐making in precision agriculture. The characteristics of reliability, security and cheapness are essential in the monitoring of agricultural information. Three improved field monitoring servers (FMS) using code division multiple access (CDMA) services combined with IPsec‐based virtual private network (VPN) functions were installed in two commercial rice fields in Shanghai and in one experimental maize field in Beijing and a remote wireless sensing network was constructed. In a 3‐year trial, this remote monitoring system with ubiquitous node infrastructure was shown to be useful and cost‐effective for collecting soil, environmental and crop information remotely for precision agriculture.