Internet Of Things In Farming Research Articles

AI and IoT in Farming: A Sustainable Approach

This paper reviews the emerging and critical role of Artificial Intelligence (AI) and the Internet of Things (IoT) in transforming modern agriculture into a more sustainable and efficient practice. Faced with escalating global population demands and a myriad of challenges such as climate change, labor costs, and market fluctuations, the agricultural sector is at a pivotal juncture. The integration of AI and IoT offers a beacon of hope, enabling smarter farming methods through real-time monitoring, data analysis, and management of agricultural processes. This review delves into the application of these technologies in various facets of farming, including precision agriculture, crop yield forecasting, and the management of resources. It explores how AI's analytical prowess can predict and address crop diseases, automate farming operations, and assist in decision-making, while IoT's network of sensors and devices facilitates the real-time tracking and monitoring of farm conditions. Additionally, the synergy of these technologies with blockchain and cloud computing is examined, highlighting their potential in enhancing transparency, data security, and supply chain management. Collectively, these technological innovations are not just reshaping the agricultural landscape but are instrumental in steering it towards a more sustainable, productive, and resilient future.

Anomaly Detection for Electric Energy Consumption in Smart Farms

Electric energy prediction is an important issue and has been studied for many years. The prediction approaches have evolved from traditional statistical methods, conventional machine learning methods, deep learning (DL) methods, and then hybrid deep learning methods. This article proposes ElectricityTalk, an Internet of Things (IoT) platform for smart farms, which integrates the artificial intelligence (AI) mechanism with farming IoT devices for electric energy prediction and anomaly detection. The AI mechanism called AItalk is designed with modified convolution neural network (CNN) and long short-term memory models. Traditional electric energy prediction approaches only consider the information provided by smart meters. This article shows that with the extra IoT switch status information in the smart farm and postprocessing with a simple yet novel random walk model, the performance of ElectricityTalk is significantly improved (by 34.5%) as compared with the AI mechanism without the farming IoT switch information. We show that the mean absolute percentage error of AItalk is 8.62% (for the UCI dataset) and 1.53% (for the Bao farm dataset), which outperforms the previous solutions. We also show that ElectricityTalk detects all anomalies in real farm operations, and can achieve recall of 1 and precision larger than 0.994, which also outperforms the previous solutions. In particular, our mechanism can detect all anomalies in three minutes, which has not been reported in previous studies.

Smart Farming

Abstract: Agriculture is the broadest economic sector and plays an important role in the overall economic development of nation. Technological advancements in the arena of agriculture will ascertain to increase competence of certain farming activities. Internet of Things (IoT) technology has brought revolution to each and every field of common man’s life by making everything smart and intelligent. IoT refers to a network of things which make a self-configuring network. The development of Intelligent Smart Farming IoT based devices is day by day turning the face of agriculture production by not only enhancing it but also making it cost-effective. Here we are using Internet of things technologies in Mushroom farming Mushrooms are classified as vegetables in the food world but they are actually fungi. Although they are not vegetables. Mushrooms provide several important nutrients and they have a very important part in the food market. This project mainly focuses of the monitoring of the mushroom farms. The sensors are placed at specific regions of the farm. Which will monitor the status. The control unit is setup with some basic parameters such as temperature. Humidity and gas content that is required for the cultivation when the threshold varies the control unit will trigger the actuators. An intelligent app is designed to check the status of the farm by the user which will be connected with the control unit through server. The app will be a used by the cultivator. Where in the app the status of the farm will be displayed. Once the actuators are triggered the users will be notified with the help of app notification.

Elements of smart farming

In this paper, new aspects and the role of Internet of Things (IoT) technologies in farming were discussed, as well as the contribution of IoT to increasing efficiency in order to meet future requirements. The role of equipment and technologies, topologies and protocols, architectures and platforms of smart farming is presented. Also, an overview of the current challenges when applying IoT in farming is provided.

REVIEW:APPLICATION OF BIG DATA AND IOT PROTECTED MODE IN AGRICULTURE

Advance researches in the field of Internet of Things (IoT) are helping to make water management smarter and also used for optimizing consumption in the smart agriculture industry. Now days the development and research in Intelligent Smart Farming IoT based devices is turning the face of agriculture production in enhancing as well making it cost-effective and reducing wastage. To create environmental conditions suitable for the growth of animals and plants, modern agriculture that uses artificial techniques to change climatic factors such as temperature a highly efficient protected agriculture mode is used. To handle the increasing challenges of agricultural production, the complex agricultural ecosystems need to be better understood. Modern digital technology used for continuously monitoring the physical environment and producing large quantities of data in an unprecedented pace. For improving productivity the analysis of big data would enable farmers and companies to extract value from it. Moreover big data analysis is leading to advances in various industries; it has not yet been widely applied in agriculture. The objective of this paper is to perform a review on current studies and research works in agriculture which employs the recent practice of big data analysis, in order to solve various relevant problems.

SMART FARMING: IOT Based Smart Sensor Agriculture Stick For Live Temperature And Humidity Monitoring

Internet of Things (IoT) technology has evolved in each and every field of common man’s life by making everything smart and intelligent. IoT refers to a network of things which make a self-configuring network. The development of various different Intelligent Smart Farming IoT based devices is day by day changing the face of agriculture which helps in production of crops by not only upgrading it but also making it cost-effective and reducing wastage. These paper is to propose a Smart IoT based Agriculture Stick that will farmers in getting live Data of Temperature, Soil Moisture, etc and other factors for efficient environment monitoring which will help them to do smart farming and increase their overall yield and quality of products. The Agriculture stick being proposed through this paper is integrating with Arduino Technology, Breadboard and mixed with different various sensors and live data feed can be obtained online through mobile phone. The product being proposed is tested on Live Agriculture Fields giving high accuracy in data feeds in different soil condition at different locations.

SMART FARMING: IOT BASED SMART SENSORS AGRICULTURE STICK FOR LIVE TEMPRATURE AND MOISTURE MONITORING USING ARDUINO, CLOUD COMPUTING & SOLAR TECHNOLOGY

Internet of Things (IoT) technology has brought revolution to each and every field of common man's life by making everything smart and intelligent. IoT refers to a network of things which make a self-configuring network. The development of Intelligent Smart Farming IoT based devices is day by day turning the face of agriculture production by not only enhancing it but also making it cost- effective and reducing wastage. The aim / objective of this paper is to propose a Novel Smart IoT based Agriculture Stick assisting farmers in getting Live Data (Temperature, Soil Moisture) for efficient environment monitoring which will enable them to do smart farming and increase their overall yield and quality of products. The Agriculture stick being proposed via this paper is integrated with Arduino Technology, Breadboard mixed with various sensors and live data feed can be obtained online from Thingsspeak.com. The product being proposed is tested on Live Agriculture Fields giving high accuracy over 98% in data feeds

Smart farming IoT platform based on edge and cloud computing

Precision Agriculture (PA), as the integration of information, communication and control technologies in agriculture, is growing day by day. The Internet of Things (IoT) and cloud computing paradigms offer advances to enhance PA connectivity. Nevertheless, their usage in this field is usually limited to specific scenarios of high cost, and they are not adapted to semi-arid conditions, or do not cover all PA management in an efficient way. For this reason, we propose a flexible platform able to cope with soilless culture needs in full recirculation greenhouses using moderately saline water. It is based on exchangeable low-cost hardware and supported by a three-tier open source software platform at local, edge and cloud planes. At the local plane, Cyber-Physical Systems (CPS) interact with crop devices to gather data and perform real-time atomic control actions. The edge plane of the platform is in charge of monitoring and managing main PA tasks near the access network to increase system reliability against network access failures. Finally, the cloud platform collects current and past records and hosts data analytics modules in a FIWARE deployment. IoT protocols like Message Queue Telemetry Transport (MQTT) or Constrained Application Protocol (CoAP) are used to communicate with CPS, while Next Generation Service Interface (NGSI) is employed for southbound and northbound access to the cloud. The system has been completely instantiated in a real prototype in frames of the EU DrainUse project, allowing the control of a real hydroponic closed system through managing software for final farmers connected to the platform.