Environmental Parameters Monitoring And Control System In Horticulture Greenhouse Using The Internet Of Things: Case Of IPRC Musanze

Efficient management of greenhouse farming is a challenge to ensure high yield production. This is a great challenge to farmers who do not have a reliable mechanism to ensure the optimum environmental conditions for their crops. Farmers are opting to look for solutions from technologies such as Machine to Machine and Internet of Things. This paper proposes a wireless sensor network architecture for real-time greenhouse environmental parameters monitoring to achieve technology- based farming at a low management cost. Uncontrolled temperature, humidity, light intensity and soil moisture content, are among the major parameters that contribute to the deterioration of plants in the green house. The system employs the temperature and Humidity sensor DHT11, a light sensor LDR and soil moisture sensor to detect the environment parameters inside the greenhouse. A low-cost Wi-Fi microchip, with built -in TCP/IP networking software called as ESP8266, has been used to help connect the microntroller with the internet wirelessly. Sensed data is monitored on-site using a Liquid Crystal Display. The ThingSpeak Cloud platform has been used to assure the remote monitoring of the sensed data, and further analytics can be done through it. Actuators namely the solenoid valve, cooling fan, and heating bulb are immediately triggered in case the limit level of the environmental parameters been sensed, has been exceeded. The Global System for Mobile Communication has been used to provide notification to the farmers cell phone farmers in case of critical conditions.  The results of the system are provided in form of waveforms observed through the ThingSpeak for the sensed parameters, others are in form of notification through LCD and GSM, and the actions performed by the solenoid valve, cooling fan and Heating bulb in case the sensed environment data goes beyond the required level

Determination of Low-Cost Arduino Based Light Intensity Sensors Effectiveness for Agricultural Applications

This research is aimed to explore the efficacy and comparison of low-cost light sensor measurements for agricultural applications. For this reason, TSL2561, BH1750, and TEMT6000, low-cost light sensors have been used with various lighting regimes. Consequently, their efficiency has been tested for agricultural applications. These types of low-cost light sensors can be used in a range of applications in agriculture. For this reason, it is necessary to evaluate the calculation of light sources. The light calculation values of low-cost light sensors were statistically compared. Calibration results were also analyzed, so the reliability of low-cost light sensors was detected. Statistical analyses of light values have been presented in the results and discussion part of the paper as; the regression coefficient based on UNI-T UT382 vs. TSL2561 for the calibration was found as R-Sq 99,6%, R-Sq(adj) 99,5%, and S 10,18; for the calibration of UNI-T UT382 vs. BH1750 was found as R-Sq 100%, R-Sq(adj) 100% and S 2,73; at last for the calibration of UNI-T UT382 vs. TEMT6000 was found as R-Sq 99,2%, R-Sq(adj) 99,1% and S 14,71. After calibration, the regression coefficient based on UNI-T UT382 vs. TSL2561 for the light measurement was found as R-Sq 100%, R-Sq(adj) 100%, and S 2,21; the light measurement for UNI-T UT382 vs. BH1750 was found as R-Sq 100%, R-Sq(adj) 100% and S 1,09; also for the UNI-T UT382 vs. TEMT6000 was found as R-Sq 100%, R-Sq(adj) 100% and S 1,73. According to calibration and measurement results, the BH1750 sensor is better than the others

Research on organic agriculture in the Netherlands : organisation, methodology and results

Chapters: 1. Organic agriculture in the Netherlands; 2. Dutch research on organic agriculture: approaches and characteristics; 3. Dutch knowledge infrastructure for organic agricultur'; 4. Sustainable systems; 5. Good soil: a good start; 6. Robust varieties and vigorous propagation material; 7. Prevention and control of weeds, pests and diseases; 8. Health and welfare of organic livestock; 9. Animal production and feeding; 10. Special branches: organic greenhouse production, bulbs, ornamentals and aquaculture; 11. Healthfulness and quality of products; 12. Economy, market and chain; 13. People and society. A publication of Wageningen UR and Louis Bolk Institut

Research status of agricultural robot technology

According to the different agricultural production uses, agricultural robots were classified, mainly including agricultural information collection robots, pruning robots, grafting robots, transplanting robots, spraying robots and picking robots. The research status of mainstream agricultural robots at home and abroad were introduced, and their working principles and characteristics were expounded. Finally, the problems existing in the key technologies of existing agricultural robots and their future development directions were put forward

Novel Approach towards Controlling and Monitoring Nutrient of Soil in Polyhouse

In modern polyhouse, several sensors are required for its automation. Nowadays soil nutrient problem affects plants growth. In this paper various sensing system have been developed for nutrient testing. This technology combines mapping of PH and electric conductivity for soil nutrient management. In agriculture field water is a main source to increase yield of crop. At present irrigation system is fully automated and controlled by the farmers. The proposed system is controlled and monitored as per soil moisture status. Sensors detect soil moisture, water tank level and depending on that solenoid valve are turned ON/OFF automatically. By using wireless sensor network, all sensors data are stored in database and monitored through local display as well as web service (http client/server)

Research Trends on Greenhouse Engineering Using a Science Mapping Approach

Horticultural protected cultivation has spread throughout the world as it has proven to be extremely effective. In recent years, the greenhouse engineering research field has become one of the main research topics within greenhouse farming. The main objectives of the current study were to identify the major research topics and their trends during the last four decades by analyzing the co-occurrence network of keywords associated with greenhouse engineering publications. A total of 3804 pertinent documents published, in 1981-2021, were analyzed and discussed. China, the United States, Spain, Italy and the Netherlands have been the most active countries with more than 36% of the relevant literature. The keyword cluster analysis suggested the presence of five principal research topics: energy management and storage; monitoring and control of greenhouse climate parameters; automation of greenhouse operations through the internet of things (IoT) and wireless sensor network (WSN) applications; greenhouse covering materials and microclimate optimization in relation to plant growth; structural and functional design for improving greenhouse stability, ventilation and microclimate. Recent research trends are focused on real-time monitoring and automatic control systems based on the IoT and WSN technologies, multi-objective optimization approaches for greenhouse climate control, efficient artificial lighting and sustainable greenhouse crop cultivation using renewable energy

Agricultural Production System Based On IOT

Internet of things (IoT) is not a single word, but it has gathered billions of devices in the same lane. The Internet of things has given the lives of things. Machines have a sense now like a human. It works remotely as the program has been settled inside the chip. The system has become so smart and reliable. The Internet of things has brought out changes in most of the sectors of humankind. Meanwhile, agriculture is the main strength of a country. The more the production of agricultural products increased, the world will be more completeness from food shortage. The production of agriculture can be increased when the IoT system can be entirely implemented in the agricultural sector. Most of the approaches for IoT based agriculture have been reviewed in this paper. Related to IoT based agriculture, most of the architecture and methodology have been interpreted and have been critically analyzed based on previous related work of the researchers. This paper will be able to provide a complete idea with the architecture and methodology in the field of IoT based agriculture. Moreover, the challenges for agricultural IoT are discussed with the methods provided by the researche

Agricultural Production System Based On IOT

Internet of things (IoT) is not a single word, but it has gathered billions of devices in the same lane. The Internet of things has given the lives of things. Machines have a sense now like a human. It works remotely as the program has been settled inside the chip. The system has become so smart and reliable. The Internet of things has brought out changes in most of the sectors of humankind. Meanwhile, agriculture is the main strength of a country. The more the production of agricultural products increased, the world will be more completeness from food shortage. The production of agriculture can be increased when the IoT system can be entirely implemented in the agricultural sector. Most of the approaches for IoT based agriculture have been reviewed in this paper. Related to IoT based agriculture, most of the architecture and methodology have been interpreted and have been critically analyzed based on previous related work of the researchers. This paper will be able to provide a complete idea with the architecture and methodology in the field of IoT based agriculture. Moreover, the challenges for agricultural IoT are discussed with the methods provided by the researche

Internet of things for monitoring environmental conditions in greenhouses: a case of Kiambu County

Efficient management of greenhouse farming is a challenge to ensure high yield production. This is a great challenge to farmers who do not have a reliable mechanism to ensure the optimum environmental conditions for their crops. Farmers are opting to look for solutions from technologies such as Machine to Machine and Internet of Things. Machine to Machine Communication refers to solutions that allow communication between devices of the same type and a specific application through wired or wireless communication networks. Moreover, Internet of Things is a connection of physical things to the internet which makes it possible to access remote data and control the physical world from a distance. These types of solutions allow end-users to capture data about events and transfer it to other devices but they do not allow broad sharing of data or connection of the devices directly to the Internet. In this thesis, the researcher investigated the use of machine to machine communication by having small electronic devices equipped with sensors that when deployed in a farm they can record the environmental conditions and communicates the information to the farmers. Moreover, the different types of crops grown in greenhouses at Kiambu County. Thereafter, the information was analyzed and sent to relevant end users such as the farmer and a metrological department that will enable them to monitor and adapt to the environmental conditions. The research used applied method of research, interviews and questionnaires to gather data. Therefore, an IoT prototype was developed to gather the critical environmental conditions in a greenhouse. The recorded data was transmitted by wireless networks using machine to machine (M2M) technologies from the sensors to the cloud platform, Intel IoT analytics dashboard, for real-time predictive analysis of the environmental parameters. An email notification was sent to alert the farmers when the parameters exceeded the threshold which were preset. This IoT prototype was used in small to large commercial indoor operations as well as small personal gardens