Introduction, Greenhouses in the Netherlands vs. Malaysia, Some Definitions, History, Simple fact yet ignored, Concept of Adaptive Solution applied to Greenhouse, Introduction to Greenhouse Automation and Control System Engineering, Open-field vs. Closed-field, Vegetable production in the highlands and lowlands of Malaysia Malaysian Strategy and Policy on Vegetable Production (2011-2020)
Whether you are building a single hoop house or building a ten hectare greenhouse range, new greenhouse construction is part of building your growing business. For many growers the construction process is exciting full of anticipation as you watch your dreams becoming a reality
Whether you are building a single hoop house or building a ten hectare greenhouse range, new greenhouse construction is part of building your growing business. For many growers the construction process is exciting full of anticipation as you watch your dreams becoming a reality
Control Based On the Temperature and Moisture, Using the Fuzzy Logic.IJERA Editor
This paper explains the design and implementation of an electronic system based on a for remote control of several experimental greenhouses. This system enables its user to consult the climatic parameters and to order the greenhouses sub-systems equipment’s by SMS. The climate Sensors are packaged using the electronic circuits, and the whole is being interfaced with maps of acquisitions (Arduino) via a radio frequency connection. These sensors provide information used for the control of ventilation, heating and water pumping by SMS. The acquisitions boards contain fuzzy controllers who manage the climate for local agricultural greenhouses. The procedure used in our system offers the operator an optimal control and monitoring without traveling to the place where the greenhouses are located, using his mobile phone, and being able to view at any moment the state of the greenhouse climate via the send and receive SMS function.
In this project an automated greenhouse robot was built with the purpose of controlling the greenhouse
environment Parameters such as temperature and humidity. The microcontroller used to create the automated
greenhouse robot was an AT89s51. This project utilizes three different sensors, a humidity sensor, a Light
sensor and a temperature sensor. The 2sensors are controlling the two Relays which are a fan (for cooling) and
a bulb (for heating). The fan is used to change the temperature and the bulb is used to heat the plants. The
humidity control system and the temperature control system were tested both separately and together. The
result showed that the temperature and humidity could be maintained in the desired range.
OPTIMIZING THE GREENHOUSE MICRO-CLIMATE MANAGEMENT BY THE INTRODUCTION OF ART...IAEME Publication
The socio-economic evolution of populations has in recent decades a rapid and multiple changes, including dietary habits that have been characterized by the consumption of fresh products out of season and widely available throughout the year.
Culture under shelters of fruit, vegetable and flower species developed from the classical to the greenhouse agro - industrial, currently known for its modernity and high level of automation (heating, misting, of conditioning, control, regulation and control, supervisor of computer etc.). New techniques have emerged, including the use of control devices and regulating climate variables in a greenhouse (temperature, humidity, CO2 concentration etc.) to the exploitation of artificial intelligence such as neural networks and / or fuzzy logic.
Constrained discrete model predictive control of a greenhouse system temperatureIJECEIAES
In this paper, a constrained discete model predictive control (CDMPC) strategy for a greenhouse inside temperature is presented. To describe the dynamics of our system’s inside temperature, an experimental greenhouse prototype is engaged. For the mathematical modeling, a state space form which fits properly the acquired data of the greenhouse temperature dynamics is identified using the subspace system identification (N4sid) algorithm. The obtained model is used in order to develop the CDMPC starategy which role is to select the best control moves based on an optimization procedure under the constraints on the control notion. For efficient evaluation of the proposed control approach MATLAB/Simulink and Yalmip optimization toolbox are used for algorithm and blocks implementation. The simulation results confirm the accuracy of the controller that garantees both the control and the reference tracking objectives.
Design of HVAC system for commercial buildingjayeshmahajan24
PowerPoint Presentation Of project:-
https://www.youtube.com/watch?v=QFU-OVw4YNc
Detailed info of this paper is available on:-
https://www.slideshare.net/jayeshmahajan24/technical-details-of-energy-efficient-hvac-system/edit?src=slideview
In this paper, you will get information about new innovative ideas which should be added to our building. Also, we have invented a new outside wall section that has a low U value which will reduce the heat load of our building and its chip to build.
A.T.E.'s solutions for auto and auto ancillaries include cooling solutions for spaces, processes, and controlled environments. Our IIoT solutions enable an energy savings of up to 10% annually, in additio to increase equipment uptime. In wastewater treatment, A.T.E. provides ETPs, STPs, ETP monitoring and comprehensive sludge management solutions. Our static charging and discharging solutions help improve quality and productivity in plastics and rubber processing and other applications. Click on the link below to learn more.
Linear matrix inequalities tool to design predictive model control for green...IJECEIAES
Modeling and regulating the internal climate of a greenhouse have been a challenge as it is a complex and time variant system. The main goal is to regulate the internal climate considering the difference between nighttime and diurnal phases of the day. To depict the comportment of the greenhouse, a multi model approach based on two multivariable black box models have been proposed representing the diurnal and nighttime phases of the day. The least-squares method is utilized to identify the parameters of these two models based on an experimental collected data. We have shown that these two models are more representative than one model to describe the dynamic behavior of the greenhouse. The second contribution is to control the internal temperature and hygrometry respecting constraints on actuators and controlled variables. For this purpose, a constrained model predictive control scheme based on the multi-modeling approach have been developed. The optimization problem of the control law is transformed to a convex optimization problem includes linear matrix inequalities (LMI). The simulation results show that the adopted control method of indoor climate allows rapid and precise tracking of set points and rejects effectively the external disturbances affecting the greenhouse.
COMMON PROBLEMS AND CHALLENGES IN DATA CENTRESKamran Hassan
in this paper common problems and challenges of data center have been identified and methods have been explained to improve the efficiency and reliability of data center
Market potential survey for low temp. absorption refrigeration system in wes...Supa Buoy
Hi Friends
This is supa bouy
I am a mentor, Friend for all Management Aspirants, Any query related to anything in Management, Do write me @ supabuoy@gmail.com.
I will try to assist the best way I can.
Cheers to lyf…!!!
Supa Bouy
A fuzzy micro-climate controller for small indoor aeroponics systemsTELKOMNIKA JOURNAL
The Indonesian agricultural sector faces challenges producing affordably priced food using sustainable practices. A soilless cultural practice, such as indoor aeroponics, is a compelling alternative to conventional agriculture. The objective of the present study was to develop a system for micro-climate management in a pilot-scale indoor aeroponics system. For this purpose, three fuzzy logic controllers were developed and evaluated to maintain plant chamber parameters (temperature, relative humidity, and light intensity) at desired set points controlled by embedded system controls designed using BASCOM-AVR software. The results showed that the fuzzy controllers provided excellent responses and experienced relatively low errors in all controlled parameters. All parameters changes followed the set point very smoothly and responded accordingly. The averaged percent of working times in which temperature, relative humidity, and light intensity were maintained within less than ±1°C, ±5%, and ±30 lux from the set points were found to be 88.43%, 95.91%, and 85.51%, respectively.
Development and Field Evaluation of a Multichannel LoRa Sensor for IoT Monito...Redmond R. Shamshiri
Evaluation of long-range wireless transceivers with respect to their power consumption, network connectivity, and coverage under extreme field conditions is necessary prior to their deployment in large scale commercial orchards. This paper reports on the development and field performance of an affordable multi-channel wireless data acquisition for IoT monitoring of environmental variations in berry orchards. A connectivity board was custom-designed based on the powerful dual-core 32-bit microcontroller with WiFi antenna and LoRa modulation at 868MHz. The objective was to verify the possibility of transmitting multiple sensor readings with lower power consumption while increasing the reliability and stability of wireless communication at long distances (over 1.7 km). Collected data from the wireless sensor was compared and found to be consistent with measurements of a data logger installed in the same locations. The presented paper highlights the advantages of LoRa sensors for digital agriculture and the experience in real-time monitoring of environmental parameters in berry orchards.
SunBot: Autonomous Nursing Assistant for Emission-Free Berry Production, Gene...Redmond R. Shamshiri
This paper is dedicated to the general concept and simulation framework used to develop an autonomous electric tractor-mower combination. Thus enabling preliminary studies and experiments to construct a functional model of an autonomous electric tractor that is capable of sensing the environment, navigate in shrubbery orchards, identify and avoid obstacles. For this cause a distributed ROS-based framework has been designed mirroring the modular control architecture of the different ECU’s and the main on-board controller. The applied V-REP, ROS simulation offers standard features such as hardware abstraction, low-level device control, commonly used functionalities, message-passing between processes, and package management. The framework reduces efforts in code and application development that can be shared by all sensors and actuators. The simulation framework was applied to tune algorithms, test and validate different sensing and control strategies.
More Related Content
Similar to An Introduction to Controlled Greenhouse Plant Production Systems For Tropical Lowlands, A lecture handout
Control Based On the Temperature and Moisture, Using the Fuzzy Logic.IJERA Editor
This paper explains the design and implementation of an electronic system based on a for remote control of several experimental greenhouses. This system enables its user to consult the climatic parameters and to order the greenhouses sub-systems equipment’s by SMS. The climate Sensors are packaged using the electronic circuits, and the whole is being interfaced with maps of acquisitions (Arduino) via a radio frequency connection. These sensors provide information used for the control of ventilation, heating and water pumping by SMS. The acquisitions boards contain fuzzy controllers who manage the climate for local agricultural greenhouses. The procedure used in our system offers the operator an optimal control and monitoring without traveling to the place where the greenhouses are located, using his mobile phone, and being able to view at any moment the state of the greenhouse climate via the send and receive SMS function.
In this project an automated greenhouse robot was built with the purpose of controlling the greenhouse
environment Parameters such as temperature and humidity. The microcontroller used to create the automated
greenhouse robot was an AT89s51. This project utilizes three different sensors, a humidity sensor, a Light
sensor and a temperature sensor. The 2sensors are controlling the two Relays which are a fan (for cooling) and
a bulb (for heating). The fan is used to change the temperature and the bulb is used to heat the plants. The
humidity control system and the temperature control system were tested both separately and together. The
result showed that the temperature and humidity could be maintained in the desired range.
OPTIMIZING THE GREENHOUSE MICRO-CLIMATE MANAGEMENT BY THE INTRODUCTION OF ART...IAEME Publication
The socio-economic evolution of populations has in recent decades a rapid and multiple changes, including dietary habits that have been characterized by the consumption of fresh products out of season and widely available throughout the year.
Culture under shelters of fruit, vegetable and flower species developed from the classical to the greenhouse agro - industrial, currently known for its modernity and high level of automation (heating, misting, of conditioning, control, regulation and control, supervisor of computer etc.). New techniques have emerged, including the use of control devices and regulating climate variables in a greenhouse (temperature, humidity, CO2 concentration etc.) to the exploitation of artificial intelligence such as neural networks and / or fuzzy logic.
Constrained discrete model predictive control of a greenhouse system temperatureIJECEIAES
In this paper, a constrained discete model predictive control (CDMPC) strategy for a greenhouse inside temperature is presented. To describe the dynamics of our system’s inside temperature, an experimental greenhouse prototype is engaged. For the mathematical modeling, a state space form which fits properly the acquired data of the greenhouse temperature dynamics is identified using the subspace system identification (N4sid) algorithm. The obtained model is used in order to develop the CDMPC starategy which role is to select the best control moves based on an optimization procedure under the constraints on the control notion. For efficient evaluation of the proposed control approach MATLAB/Simulink and Yalmip optimization toolbox are used for algorithm and blocks implementation. The simulation results confirm the accuracy of the controller that garantees both the control and the reference tracking objectives.
Design of HVAC system for commercial buildingjayeshmahajan24
PowerPoint Presentation Of project:-
https://www.youtube.com/watch?v=QFU-OVw4YNc
Detailed info of this paper is available on:-
https://www.slideshare.net/jayeshmahajan24/technical-details-of-energy-efficient-hvac-system/edit?src=slideview
In this paper, you will get information about new innovative ideas which should be added to our building. Also, we have invented a new outside wall section that has a low U value which will reduce the heat load of our building and its chip to build.
A.T.E.'s solutions for auto and auto ancillaries include cooling solutions for spaces, processes, and controlled environments. Our IIoT solutions enable an energy savings of up to 10% annually, in additio to increase equipment uptime. In wastewater treatment, A.T.E. provides ETPs, STPs, ETP monitoring and comprehensive sludge management solutions. Our static charging and discharging solutions help improve quality and productivity in plastics and rubber processing and other applications. Click on the link below to learn more.
Linear matrix inequalities tool to design predictive model control for green...IJECEIAES
Modeling and regulating the internal climate of a greenhouse have been a challenge as it is a complex and time variant system. The main goal is to regulate the internal climate considering the difference between nighttime and diurnal phases of the day. To depict the comportment of the greenhouse, a multi model approach based on two multivariable black box models have been proposed representing the diurnal and nighttime phases of the day. The least-squares method is utilized to identify the parameters of these two models based on an experimental collected data. We have shown that these two models are more representative than one model to describe the dynamic behavior of the greenhouse. The second contribution is to control the internal temperature and hygrometry respecting constraints on actuators and controlled variables. For this purpose, a constrained model predictive control scheme based on the multi-modeling approach have been developed. The optimization problem of the control law is transformed to a convex optimization problem includes linear matrix inequalities (LMI). The simulation results show that the adopted control method of indoor climate allows rapid and precise tracking of set points and rejects effectively the external disturbances affecting the greenhouse.
COMMON PROBLEMS AND CHALLENGES IN DATA CENTRESKamran Hassan
in this paper common problems and challenges of data center have been identified and methods have been explained to improve the efficiency and reliability of data center
Market potential survey for low temp. absorption refrigeration system in wes...Supa Buoy
Hi Friends
This is supa bouy
I am a mentor, Friend for all Management Aspirants, Any query related to anything in Management, Do write me @ supabuoy@gmail.com.
I will try to assist the best way I can.
Cheers to lyf…!!!
Supa Bouy
A fuzzy micro-climate controller for small indoor aeroponics systemsTELKOMNIKA JOURNAL
The Indonesian agricultural sector faces challenges producing affordably priced food using sustainable practices. A soilless cultural practice, such as indoor aeroponics, is a compelling alternative to conventional agriculture. The objective of the present study was to develop a system for micro-climate management in a pilot-scale indoor aeroponics system. For this purpose, three fuzzy logic controllers were developed and evaluated to maintain plant chamber parameters (temperature, relative humidity, and light intensity) at desired set points controlled by embedded system controls designed using BASCOM-AVR software. The results showed that the fuzzy controllers provided excellent responses and experienced relatively low errors in all controlled parameters. All parameters changes followed the set point very smoothly and responded accordingly. The averaged percent of working times in which temperature, relative humidity, and light intensity were maintained within less than ±1°C, ±5%, and ±30 lux from the set points were found to be 88.43%, 95.91%, and 85.51%, respectively.
Development and Field Evaluation of a Multichannel LoRa Sensor for IoT Monito...Redmond R. Shamshiri
Evaluation of long-range wireless transceivers with respect to their power consumption, network connectivity, and coverage under extreme field conditions is necessary prior to their deployment in large scale commercial orchards. This paper reports on the development and field performance of an affordable multi-channel wireless data acquisition for IoT monitoring of environmental variations in berry orchards. A connectivity board was custom-designed based on the powerful dual-core 32-bit microcontroller with WiFi antenna and LoRa modulation at 868MHz. The objective was to verify the possibility of transmitting multiple sensor readings with lower power consumption while increasing the reliability and stability of wireless communication at long distances (over 1.7 km). Collected data from the wireless sensor was compared and found to be consistent with measurements of a data logger installed in the same locations. The presented paper highlights the advantages of LoRa sensors for digital agriculture and the experience in real-time monitoring of environmental parameters in berry orchards.
SunBot: Autonomous Nursing Assistant for Emission-Free Berry Production, Gene...Redmond R. Shamshiri
This paper is dedicated to the general concept and simulation framework used to develop an autonomous electric tractor-mower combination. Thus enabling preliminary studies and experiments to construct a functional model of an autonomous electric tractor that is capable of sensing the environment, navigate in shrubbery orchards, identify and avoid obstacles. For this cause a distributed ROS-based framework has been designed mirroring the modular control architecture of the different ECU’s and the main on-board controller. The applied V-REP, ROS simulation offers standard features such as hardware abstraction, low-level device control, commonly used functionalities, message-passing between processes, and package management. The framework reduces efforts in code and application development that can be shared by all sensors and actuators. The simulation framework was applied to tune algorithms, test and validate different sensing and control strategies.
Smart Management of Oil Palm Plantations with Autonomous UAV Imagery and Robu...Redmond R. Shamshiri
A Breakthrough in Oil Palm Precision Agriculture: Smart Management of Oil Palm Plantations with Autonomous UAV Imagery and Robust Machine Vision
Link to the publication
https://www.researchgate.net/publication/306348123_A_Breakthrough_in_Oil_Palm_Precision_Agriculture_Smart_Management_of_Oil_Palm_Plantations_with_Autonomous_UAV_Imagery_and_Robust_Machine_Vision
Development of a Field Robot Platform for Mechanical Weed Control in Greenhou...Redmond R. Shamshiri
A prototype robot that moves on a monorail along the greenhouse for weed elimination between cucumber plants was designed and developed. The robot benefits from three arrays of ultrasonic sensors for weed detection and a PIC18 F4550-E/P microcontroller board for processing. The feedback from the sensors activates a robotic arm, which moves inside the rows of the cucumber plants for cutting the weeds using rotating blades. Several experiments were carried out inside a greenhouse to find the best combination of arm motor (AM) speed, blade rotation (BR) speed, and blade design. We assigned three BR speeds of 3500, 2500, and 1500 rpm, and two AM speed of 10 and 30 rpm to three blade designs of S-shape, triangular shape, and circular shape. Results indicated that different types of blades, different BR speed, and different AM speed had significant effects (P < 0.05) on the percentage of weeds cut (PWC); however, no significant interaction effects were observed. The comparison between the interaction effect of the factors (three blade designs, three BR speeds, and two AM speeds) showed that maximum mean PWC was equal to 78.2% with standard deviation of 3.9% and was achieved with the S-shape blade when the BR speed was 3500 rpm, and the AM speed was 10 rpm. Using this setting, the maximum PWC that the robot achieved in a random experiment was 95%. The lowest mean PWC was observed with the triangular-shaped blade (mean of 50.39% and SD = 1.86), which resulted from BR speed of 1500 rpm and AM speed of 30 rpm. This study can contribute to the commercialization of a reliable and affordable robot for automated weed control in greenhouse cultivation of cucumber.
Fundamental Research on Unmanned Aerial Vehicles to Support Precision Agricul...Redmond R. Shamshiri
Unmanned aerial vehicles carrying multimodal sensors for precision agriculture (PA) applications face adaptation challenges to satisfy reliability, accuracy, and timeliness. Unlike ground platforms, UAV/drones are subjected to additional considerations such as payload, flight time, stabilization, autonomous missions, and external disturbances. For instance, in oil palm plantations (OPP), accruing high resolution images to generate multidimensional maps necessitates lower altitude mission flights with greater stability. This chapter addresses various UAV-based smart farming and PA solutions for OPP including health assessment and disease detection, pest monitoring, yield estimation, creation of virtual plantations, and dynamic Web-mapping. Stabilization of UAVs was discussed as one of the key factors for acquiring high quality aerial images. For this purpose, a case study was presented on stabilizing a fixed-wing Osprey drone crop surveillance that can be adapted as a remote sensing research platform. The objective was to design three controllers (including PID, LQR with full state feedback, and LQR plus observer) to improve the automatic flight mission. Dynamic equations were decoupled into lateral and longitudinal directions, where the longitudinal dynamics were modeled as a fourth order two-inputs-two-outputs system. State variables were defined as velocity, angle of attack, pitch rate, and pitch angle, all assumed to be available to the controller. A special case was considered in which only velocity and pitch rate were measurable. The control objective was to stabilize the system for a velocity step input of 10m/s. The performance of noise effects, model error, and complementary sensitivity was analyzed.
Research and development in agricultural robotics: A perspective of digital f...Redmond R. Shamshiri
Digital farming is the practice of modern technologies such as sensors, robotics, and data analysis for shifting from tedious operations to continuously automated processes. This paper reviews some of the latest achievements in agricultural robotics, specifically those that are used for autonomous weed control, field scouting, and harvesting. Object identification, task planning algorithms, digitalization and optimization of sensors are highlighted as some of the facing challenges in the context of digital farming. The concepts of multi-robots, human-robot collaboration, and environment reconstruction from aerial images and ground-based sensors for the creation of virtual farms were highlighted as some of the gateways of digital farming. It was shown that one of the trends and research focuses in agricultural field robotics is towards building a swarm of small scale robots and drones that collaborate together to optimize farming inputs and reveal denied or concealed information. For the case of robotic harvesting, an autonomous framework with several simple axis manipulators can be faster and more efficient than the currently adapted professional expensive manipulators. While robots are becoming the inseparable parts of the modern farms, our conclusion is that it is not realistic to expect an entirely automated farming system in the future.
An Overview of the System of Rice Intensification for Paddy Fields of MalaysiaRedmond R. Shamshiri
Objectives: The objective of this paper was to present a general overview of rice agronomic practices and transplanting operations by considering the interactions of soil, plant, and machine relationship in line with the System of Rice Intensification (SRI) cultivation practice. Methods: Some of the problems challenging Malaysian rice growers, as well as yield increase and total rice production in the last four decades, were first addressed and discussed. The trend in the world rice production between 1961 and 2014 was used to predict the production in 2020 and to show that Southeast Asian countries are expected to increase their production by 27.2%. Findings: A consistently increasing pattern from 3.1 tons/ha during 1981 to 4.1 tons/ha in 2014 was observed in the rice yield of Malaysia due to the advances in technology and improved farming operations coupled with integrated management and control of resources. Various literature were reviewed and their findings of the best transplanting practices were summarized to discuss how SRI contributes to the production of higher rice yield with improved transplanting practices through a more effective root system. Our review shows that wider spacing, availability of solar radiation, medium temperature, soil aeration, and nutrient supply promote shorter Phyllochrons which increase the number of tillers in rice. In this regard, modification and development of a transplanter that complies with SRI specification require determination of optimum transplanting spacing, seed rate, and planting pattern to significantly improve yield. Improvement: It was concluded that for maximum yield, the SRI method in Malaysia should emphasize on the planting of one seedling per hill with space of 0.25 m for optimum water consumption, nutrient and pest management.
Robotic Harvesting of Fruiting Vegetables: A Simulation Approach in V-REP, RO...Redmond R. Shamshiri
In modern agriculture, there is a high demand to move from tedious manual harvesting to a continuously automated operation. This chapter reports on designing a simulation and control platform in V-REP, ROS and MATLAB for experimenting with sensors and manipulators in robotic harvesting of sweet pepper. The objective was to provide a completely simulated environment for improvement of visual servoing task through easy testing and debugging of control algorithms with zero damage risk to the real robot and to the actual equipment. A simulated workspace, including an exact replica of different robot manipulators, sensing mechanisms, and sweet pepper plant, and fruit system was created in V-REP. Image moment method visual servoing with eye-in-hand configuration was implemented in MATLAB, and was tested on four robotic platforms including Fanuc LR Mate 200iD, NOVABOT, multiple linear actuators, and multiple SCARA arms. Data from simulation experiments were used as inputs of the control algorithm in MATLAB, whose output were sent back to the simulated workspace and to the actual robots. ROS was used for exchanging data between the simulated environment and the real workspace via its publish and subscribe architecture. Results provided a framework for experimenting with different sensing and acting scenarios, and verified the performance functionality of the simulator.
Choosing the Best UAV Drones for Precision Agriculture and Smart Farming: Agr...Redmond R. Shamshiri
Best Drones For Agriculture, Exploring agricultural drones, Agricultural Drone Technology, Agricultural Drones for Sale, Choosing the Best UAV Drones for Precision Agriculture and Smart Farming: Agricultural drone buyer’s guide for farmers and agriculture service professionals
Robotic Harvesting of Fruiting Vegetables, “Acceleration by Simulation”Redmond R. Shamshiri
Robotic Harvesting of Fruiting Vegetables, “Acceleration by Simulation”
Presented at the Acceleration Workshop Robotics & Crop Sensing in Greenhouses, 11-12 September 2017. Delf University of Technology, The Netherlands
Robotic Harvesting with NOVABOT innovative manipulator
https://youtu.be/R38IoVcOVt0
Robotic Harvesting with multiple SCARA manipulators
https://youtu.be/TLLW3S-55ls
Robotic Harvesting with Array of Linear Actuators
https://youtu.be/iFu7FAxLvmg
Robotic Harvesting with fanuc lr mate 200id (Visual Servo Control in V-REP, ROS, MATLAB)
https://youtu.be/BwRBUeB812s
Robotic Harvesting, Simulation of Environment and Fruit/Plant Scan
https://youtu.be/XD3J7b0cDGM
Advanced Visual Servo Control in V-REP for Robotic harvesting of sweet pepper
https://youtu.be/VupoirQOL0Y
Robotic Harvesting of Sweet Pepper, Ubuntu, V-REP, ROS Environment Setup
https://youtu.be/tKagjNQ9FW4
Real-time, robust and rapid red-pepper fruit detection with Matlab
https://youtu.be/rFV6Y5ivLF8
Talk
https://youtu.be/QZawPeg3wEQ
Dynamic Assessment of Air Temperature for Tomato (Lycopersicon Esculentum) Cu...Redmond R. Shamshiri
Net-screen covered greenhouses operating on natural ventilation are used as a sustainable approach for closed-field cultivation of fruits and vegetables and to eliminate insect passage and subsequent production damage. The objective of this work was to develop a real-time assessment framework for evaluating air-temperature inside an insect-proof net-screen greenhouse in tropical lowlands of Malaysia prior to cultivation of tomato. Mathematical description of a growth response model was implemented and used in a computer application. A custom-designed data acquisition system was built for collecting 6 months of air-temperature data, during July to December 2014. For each measured air-temperature (T), an optimality degree, denoted by Opt(T), was calculated with respect to different light conditions (sun, cloud, night) and different growth stages. Interactive three-dimensional plots were generated to demonstrate variations in Opt(T) values due to different hours and days in a growth season. Results showed that, air temperature was never less than 25% optimal for early growth, and 51% for vegetative to mature fruiting growth stages. The average Opt(T) in the entire 6 months was between 65 and 75%. The presented framework allows tomato growers to automatically collect and process raw air temperature data and to simulate growth responses at different growth stages and light conditions. The software database can be used to track and record Opt(T) values from any greenhouses with different structure design, covering materials, cooling system and growing seasons, and to contribute to knowledge-based decision support systems and energy balance models.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
An Introduction to Controlled Greenhouse Plant Production Systems For Tropical Lowlands, A lecture handout
1. A lecture handout prepared by:
Redmond Ramin Shamshiri, PhD https://florida.academia.edu/Redmond
Hasfalina Che Man, Associate Professor
Desa Ahmad, Professor. Ir.
Fall semester, 2017
Contact Info