scholarly journals Design and Analysis of Photovoltaic Powered Battery-Operated Computer Vision-Based Multi-Purpose Smart Farming Robot

Agronomy ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 530
Author(s):  
Aneesh A. Chand ◽  
Kushal A. Prasad ◽  
Ellen Mar ◽  
Sanaila Dakai ◽  
Kabir A. Mamun ◽  
...  
Keyword(s):  
Computer Vision ◽  
Storage Tank ◽  
Agricultural Sector ◽  
Pesticide Use ◽  
Vertical Orientation ◽  
Power Profile ◽  
Smart Farming ◽  
Fully Automatic ◽  
Solar Powered ◽  
Spraying Process

Farm machinery like water sprinklers (WS) and pesticide sprayers (PS) are becoming quite popular in the agricultural sector. The WS and PS are two distinct types of machinery, mostly powered using conventional energy sources. In recent times, the battery and solar-powered WS and PS have also emerged. With the current WS and PS, the main drawback is the lack of intelligence on water and pesticide use decisions and autonomous control. This paper proposes a novel multi-purpose smart farming robot (MpSFR) that handles both water sprinkling and pesticide spraying. The MpSFR is a photovoltaic (PV) powered battery-operated internet of things (IoT) and computer vision (CV) based robot that helps in automating the watering and spraying process. Firstly, the PV-powered battery-operated autonomous MpSFR equipped with a storage tank for water and pesticide drove with a programmed pumping device is engineered. The sprinkling and spraying mechanisms are made fully automatic with a programmed pattern that utilizes IoT sensors and CV to continuously monitor the soil moisture and the plant’s health based on pests. Two servo motors accomplish the horizontal and vertical orientation of the spraying nozzle. We provided an option to remotely switch the sprayer to spray either water or pesticide using an infrared device, i.e., within a 5-m range. Secondly, the operation of the developed MpSFR is experimentally verified in the test farm. The field test’s observed results include the solar power profile, battery charging, and discharging conditions. The results show that the MpSFR operates effectively, and decisions on water use and pesticide are automated.

Performance Analysis of a Solar-Assisted Organic Rankine Cycle

2020 ◽  
Author(s):  
M. T. Nitsas ◽  
I. P. Koronaki
Keyword(s):  
Mathematical Model ◽  
Performance Analysis ◽  
Temporal Variation ◽  
Storage Tank ◽  
Organic Rankine Cycle ◽  
Rankine Cycle ◽  
Working Fluid ◽  
Evaporation Temperature ◽  
Solar Powered ◽  
The Mathematical Model

Abstract The objective of this paper is the thermodynamic analysis of a solar powered Organic Rankine Cycle (O.R.C.) and the investigation of potential working fluids in order to select the optimum one. A dynamic model for a solar O.R.C. with a storage tank, which produces electricity is developed. The mathematical model includes all the equations that describe the operation of the solar collectors, the storage tank, the Rankine Cycle and the feedback between them. The model runs for representative days throughout the year, calculating the net produced energy as a function of the selected evaporation temperature for every suitable working fluid. Above that, the temporal variation of the systems’ temperatures, collectors’ efficiency and net produced power, for the optimum organic fluid and evaporation temperature are presented.

Decay Detection in Citrus Fruits Using Hyperspectral Computer Vision

2012 ◽  
pp. 104-123
Author(s):  
Juan Gómez-Sanchis ◽  
Emilio Soria-Olivas ◽  
Delia Lorente-Garrido ◽  
José M. Martínez-Martínez ◽  
Pablo Escandell-Montero ◽  
...  
Keyword(s):  
Computer Vision ◽  
Agricultural Sector ◽  
Vision System ◽  
Penicillium Digitatum ◽  
Machine Learning Techniques ◽  
Economic Losses ◽  
Citrus Fruits ◽  
Penicillium Italicum ◽  
Citrus Industry ◽  
Learning Techniques

The citrus industry is nowadays an important part of the Spanish agricultural sector. One of the main problems present in the citrus industry is decay caused by Penicillium digitatum and Penicillium italicum fungi. Early detection of decay produced by fungi in citrus is especially important for the citrus industry of distribution. This chapter presents a hyperspectral computer vision system and a set of machine learning techniques in order to detect decay caused by Penicillium digitatum and Penicillium italicum fungi that produce more economic losses to the sector. More specifically, the authors employ a hyperspectral system and artificial neural networks. Nowadays, inspection and removal of damaged citrus is done manually by workers using dangerous ultraviolet light. The proposed system constitutes a feasible and implementable solution for the citrus industry; this has been proven by the fact that several machinery enterprises have shown their interest in the implementation and patent of the system.

scholarly journals Initial Modeling for Smart Farming using Soil Temperature and Humidity

2021 ◽  
Vol 328 ◽  
pp. 08004
Author(s):  
Haryanto ◽  
Koko Joni ◽  
Dian Neipa Purnamasari ◽  
Diana Rahmawati ◽  
Rosida Vivin Nahari ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Young People ◽  
Agricultural Sector ◽  
Test Results ◽  
Young Population ◽  
Direct Sunlight ◽  
City Environment ◽  
Surrounding Environment ◽  
Smart Farming ◽  
Cherry Tomatoes

The absence of an increase in the interest of the young population to enter the agricultural sector has an impact on the amount of food production each year. This happens because young people think that the farming profession is not promising for survival. One of the developments that can attract the interest of young people is by utilizing technology such as smart farming. This paper proposes initial modeling before implementing smart farming by analyzing the characteristics of the object to be planted. The purpose of this paper is to optimize plant growth and development to increase the potential of agricultural production according to the surrounding environment. The plants analyzed included eggplant, cherry tomatoes, guava, citrus, and cucumbers. The parameters studied were temperature and soil moisture in plants. The test results found that cherry tomatoes and cucumbers are not suitable if planted in the Surabaya city environment because they require low temperatures as a condition for growing. Meanwhile, eggplant, guava, and citrus plants, if placed in a place exposed to direct sunlight, will cause the soil moisture to decrease, so that the plants do not grow optimally.

scholarly journals Can Smart Farming in India Eradicate the Problem of Agricultural and Crisis of Food Poverty from the Nation

2021 ◽  
Vol 9 (11) ◽  
pp. 1045-1049
Author(s):  
Dr. Sumanta Bhattacharya
Keyword(s):  
Artificial Intelligence ◽  
Remote Sensing ◽  
Technology Use ◽  
Agricultural Sector ◽  
Soil Nutrient ◽  
Vertical Farming ◽  
Use Of Resources ◽  
Smart Farming ◽  
The Government ◽  
Greenhouse Emission

Abstract: Smart farming has started taking a dynamic shape in the society , where the farmers are adopting smart farming with increase in the use of technologies like artificial intelligence , remote sensing for cultivation of crops with proper knowledge and information gained through digital market , satellite , farm mapping and climate condition to understand and make correct use of resources , controlling soil ,nutrient , saving water and use of less fertilizers in growing crops . Greenhouse , vertical farming , horticulture have entered the urban sector at a rapid pace to meet the demand of the growing society , smart agriculture has helped us to limit our dependence on water , soil and other chemical fertilizer . Today we produce more fresh , healthy and organic food . We have been successful in countering the climate influence over the food sector and reducing the greenhouse emission caused by agricultural sector or make it to zero emission , with promotion of vertical and indoor farming in the urban , semi urban and rural region, the government have encourage farmers to adopt smart farming what we require is to provide training and knowledge on technology use along with many resources available at a reasonable price for the farmers . Keywords: Smart Farming, farmers, vertical farming, artificial intelligence, remote sensing, technologies, climate, resources

scholarly journals The decision-making process of synthetic pesticide use in agricultural communities in Colombia: a grounded theory approach

2020 ◽  
Vol 38 (2) ◽  
pp. 1-7
Author(s):  
Ysabel Polanco Lopez de Mesa
Keyword(s):  
Decision Making ◽  
Grounded Theory ◽  
Agricultural Sector ◽  
Negative Attitude ◽  
Agricultural Workers ◽  
Decision Making Process ◽  
Pesticide Use ◽  
Theory Approach ◽  
Agricultural Communities ◽  
Grounded Theory Approach

Objective: to explore the decision-making process of agricultural workers associated with pesticide use and exposure; and to discover if these processes differ between pesticide users and non users. and the characteristics of these differences Methods: his study used a grounded theory approach to understand the decision-making process for pesticide use/non-use among agricultural workers in San Cristobal, Colombia. This study involved participantobservation, individual interviews, and focus groups. Results: the theory developed to explain the decision making process of pesticide use showed several categories including: the prospect of having a good harvest, efficient pest control, habituation to use pesticides, feeling obligated to do use them, poor knowledge about pesticides, believing that pesticide increased the quality of the products, positive attitudes towards pesticide use, family support towards pesticide use, community pressure and acceptance, economic fear, and market pressure. In the non pesticide users group categories included: having better health, pesticides considered harmful for human health, pesticides being deleterious for  the environment, being used to work without pesticides, family and economic support, and negative attitude towards pesticide use . The decision making process for personal protective equipment (PPE) use encompassed categories such as: powerless feelings, economic difficulties, and belief that equipment is not necessary. Discussion: The decision-making process for pesticide use in agricultural communities is complex and varies between pesticide users and non-users. Conclusions: It is important to consider the intricate process of pesticide use in order to orient interventions in the agricultural sector.

scholarly journals A Review on Various Techniques to Transform Traditional Farming to Precision Agriculture

2021 ◽  
Vol 12 (2) ◽  
pp. 131-135
Author(s):  
Rana Gill
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Precision Agriculture ◽  
Wireless Sensors ◽  
Agricultural Sector ◽  
Wireless Sensor ◽  
Time Data ◽  
Traditional Farming ◽  
Agriculture Sector ◽  
Smart Farming

The agricultural sector is of great importance to fulfill food resources need of the country. Precision Agriculture (PA) with Internet of Things and Wireless Sensor Network is a transformation from traditional farming to smart farming. Wireless sensor networks and Internet of Things are considered as drivers to develop system which can change agriculture sector from manual to automatic. Advancement in the technology have pushed the growth of precision agriculture to very large extent despite of several challenges faced in this area. System for precision agriculture relies on hardware components mainly wireless sensors which act as a source for gathering of real time data. Depending upon the real time date retrieved by sensors automation in agriculture is done by adopting decision-based system. With Precision agriculture productivity is optimized by maintaining sustaniability as crop receives what is acutual requirement on the basis of new techniques and software platforms. This review article includes Inernet of Things (IoT), Wireless Sensors, Wireless communication and challenges faced in this area.

scholarly journals Role of Big Data in Agriculture

2019 ◽  
Vol 9 (2) ◽  
pp. 3811-3821
Keyword(s):  
Big Data ◽  
Food Production ◽  
Agricultural Sector ◽  
Big Data Analytics ◽  
Farming Practices ◽  
Factors Affecting ◽  
Pertinent Data ◽  
Smart Farming ◽  
Modern Technologies

Big Data analytics in the agricultural sector has huge potential to cater to requirements of food production. This review highlights the role of Big Data in pertinent data acquisition from factors affecting the agriculture such as weather, soil, diseases, remote sensing and the prospects of agricultural data analysis towards smart farming. Incorporating modern technologies in farming practices continuously monitor the environment, thus producing large quantity of data. Hence there arises the need for advanced practical and systematic strategies to correlate the different factors driving the agriculture to derive valuable information out of it. Big Data can be a promising aspect for the future of food production and sustainability of agriculture. Leveraging big data in the agricultural sector can provide insights in farming practices, helps in making real-time decisions and motivates in incorporating new methods of farming operations. The main objective of this paper is to provide insights into different factors that contribute to making timely recommendations to farmers with regard to smart agricultural techniques.

scholarly journals 4.0 For Agriculture

2020 ◽  
Vol 5 (3) ◽  
Author(s):  
Aylin Yılmaz ◽  
M. Atilla Arıcıoğlu ◽  
Nadiye Gülnar
Keyword(s):  
Industry 4.0 ◽  
Agricultural Sector ◽  
Agricultural Practices ◽  
Agricultural Field ◽  
Use Of Technology ◽  
Smart Farming ◽  
The World ◽  
Technological Developments ◽  
The Internet Of Things ◽  
Better Than

Recently, there was a struggle to control the volume of production and the volume of production between countries and regions in the world. Rather, western countries had a desire to attract investments in the east to their own countries and regions. This desire has led to the emergence of the Industry 4.0 phenomenon of the West, which is Germany. In other words, with this phenomenon, the industry is aimed to digitize production more and contribute to the issues of speed, efficiency and flexibility by providing digitalization in production. With these changes, Industry 4.0, was seen that the system was working better than it was and production was made cheaper than the system, when taking the muscle strength out of the system. While the positive contributions of Industry 4.0 have resonated with all sectors, it has also started to have an impact on the agricultural sector. Problems such as scarcity in the world, not using natural resources effectively and not using technology in the agricultural field, have caused the emergence of digitalization in the agricultural sector. "Agriculture 4.0", wich means making smart production with smart farming practices by using the concepts, information and technologies in the literature. In line with the possibilities and technological developments offered by Industry 4.0, it enables the sensors to be seen in all agricultural machines from the tractor to the crop tools and the communication of the machines in the entire production process by entering the internet of things into the agricultural sector. As a matter of fact, with the agriculture 4.0, the traditional agriculture paradigm has not been sufficient anymore and it contributes to sustainability, to be productive, to protect the rural texture, to protect the environmental quality and to provide accessible food by undergoing changes and agricultural practices. In the study, the problems experienced in the agricultural sector, the effects of Agriculture 4.0 on these problems and how they will benefit are discussed. The use of technology has given the system its name and agriculture has also taken its share in the developments. Accordingly, what are the practices of Agriculture 4.0 in the world and how their contributions are investigated.

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