Computer technology in agriculture With the maturity of computer technology, the production technology of agricultural industry is constantly upgrading, and both the service concept and the industrial sup- ply chain are developing Feb 17, 2025 · Even after harvest you want to identify the quality of the crop, and computer vision can assist. This allows farmers to more easily adjust their practices to make the best use of resources. 3 Structure and process 3 AI4AI key findings 3. Jan 14, 2025 · The term precision agriculture is used to encompass the numerous sensors, computers and electronics found in agriculture today. Mundi (NOUN) Course Coordinator: Mr. It was the first industry to develop and has helped us sustain ourselves for thousands of years. Rural areas. 期刊介绍: Computers and Electronics in Agriculture provides international coverage of advances in the development and application of computer hardware, software, electronic instrumentation, and control systems for solving problems in agriculture, including agronomy, horticulture (in both its food and amenity aspects), forestry, aquaculture, and animal/livestock farming. g. We use the data from these tools to more effectively manage the variations across fields and cropping systems. The use of remote sensing (RS), drones or unmanned aerial vehicles (UAVs), and machine learning (ML) has significantly transformed precision agriculture. Indian is an agriculture based country, where more than 50% of population is depends on agriculture. e. Oct 10, 2023 · High Cost of Maintenance: One of the drawbacks of agricultural technology is its e xpensive maintenance . Mar 4, 2025 · A recursive segmentation model for bok choy growth monitoring with Internet of Things (IoT) technology in controlled environment agriculture. With the development of computer vision, such technology has been widely used in the field of agricultural automation and plays a key role in its development. Dec 29, 2022 · Li L, Lin Z, Huang Q (2019) Explore the application of computer information technology in modern agricultural scientific research. They cover a wide range of interesting theories and applications of information technology in agriculture, including simulation models and decision-support systems for agricultural production, agricultural product quality testing, traceability and e-commerce technology, the application of information and communication technology in agriculture Mar 1, 2019 · There is vast enhancement in agriculture sector worldwide i. Whole plant computer simulation models use plant physiology and environmental variables to calculate plant growth, yield, and dry matter. A fertilizer or chemical can increase the productivity rate in farming but it can gradually destroy the fertility of the soil as well. Overuse of technology damages and reduces the fertility of the soil in fields. It has been argued that the cloud computing technology impacted positively on agriculture field and related services they provide for users. Keywords Agriculture, computer applications, image processing, models, expert systems, process control. Automated drones, sprinklers, sowing robots, and harvesting robots use technologies like IoT, precision navigation systems, LiDAR, 3D mapping, autonomous vehicle technology, and computer vision. May 7, 2019 · Precision agriculture utilizes modern technology to optimize agricultural practices, resulting in increased productivity while reducing costs and environmental impact. Research institutions and scientific groups are continuously working to deliver solutions and products Additionally, this chapter delves into the evolution of computer vision technology in agriculture, particularly focusing on its vital role in automating farming processes. It's even clearer in Oct 1, 2022 · With increasing population, the demand for agricultural productivity is rising to meet the goal of “Zero Hunger”. Application analysis of artificial intelligence and computer technology in agricultural modernization [J]. One might wonder about the real-world benefits of such a blend. The journal publishes original papers, reviews, and applications notes on topics pertaining to advances in the use of computers or electronics in plant or animal agricultural production, including Aug 20, 2024 · The usage of computer vision-based agricultural automation technology is on the rise as a means of enhancing agricultural productivity and efficiency . 7 billion by 2028, highlighting the pivotal role of Jan 8, 2020 · Scientists have used it to develop self-driving cars and chess-playing computers, but the technology has expanded into another domain: agriculture. In this inaugural edition, we’ll focus on agriculture! Read on to learn about computer vision in agriculture. 1 Challenges and opportunities in agriculture 1. AI has the potential to spur more efficient methods of farming in order to combat global warming, but only with expanded regulation of its development. The journal publishes original papers, reviews, and applications notes on topics pertaining to advances in the use of computers or electronics in plant or animal agricultural production, including 4 days ago · NIFA advances agricultural technology and ensures that the nation’s agricultural industries are able to utilize it by supporting: Basic research and development in physical sciences, engineering, and computer sciences; Development of agricultural devices, sensors, and systems Its new companion journal, Smart Agricultural Technology provides continuity for smart application being applied in production agriculture. The consensus? We are witnessing a tectonic shift in technology adoption. By equipping farmers with high-resolution sensors and robust data analysis software, information on crop health, soil moisture, production yields, and other important metrics can be gleaned quickly and accurately. Well, computer vision technology is developing at an accelerated rate, making its way into many (nearly all) industries, and agriculture is no exception. Application of artificial intelligence and computer technology in agricultural modernization [J]. Emerging new applications will transform agriculture from the traditional farm practices to a highly automated Oct 1, 2018 · This technology uses a camera and computer instead of the human eye to identify, track and measure targets for further image processing. [39] Gholap, J. 0. Applications of Computer Vision and Drone Technology in Agriculture 4. Exploring computer vision, machine learning, and robotics applications Nov 5, 2023 · Data gathering and data analysis are two of the most important uses of computer science in the agricultural world. Mobilizing Agriculture with ICT. E. Journal of Computer Science and Technology, 10(3), 691-697. AI drones and satellites offer farmers quality images and real-time data for crop monitoring. The variability in Jun 13, 2023 · This technology provides data on various parameters like soil health, humidity, temperature, and more, enabling farmers to make informed decisions about irrigation, fertilization, and crop management. Technology in agriculture involves incorporating new tools, methods, and systems to improve productivity, sustainability, and efficiency across the agricultural value chain. Computer vision might be used to monitor crops and detect issues like plant diseases and weed growth. Public Sector Institutions (e. This conference is organized by China Agricultural University, Chinese Society of Agricultural Engineering and the Beijing Society for Information Technology in Agriculture. Jan 28, 2025 · Computers help agricultural research in many ways. 5 This represents our estimate of the total potential for value added in agricultural production; it is not an estimate of the agritech and Jan 14, 2025 · The term precision agriculture is used to encompass the numerous sensors, computers and electronics found in agriculture today. 1. 3-D Printers: The ability of 3-D printers to repair machinery, print food or even make a prosthetic for a valuable animal provides a clear advantage to farms worldwide. Aug 9, 2022 · Agricultural production management in the future will increasingly rely on computer intelligent technology based on large-scale datasets, which will be utilized to tackle existing agricultural challenges. Greg Onwodi Programme Leader: Prof. It also describes how e-Choupal, Agmarknet, and other online platforms are improving access to information on crops, prices, and markets to help farmers. d. The use of computer intelligent technology and AI techniques will increase agricultural automation systems' economic, general, coordinated Oct 5, 2017 · The “electronic computer” has been hailed as having possibly more beneficial potential for the human race than any other invention in history. From precision farming and robotic automation to biotechnology and digital solutions, technology is transforming traditional farming practices, enhancing resource Feb 25, 2022 · Some of the areas in which computers can be applied in agriculture are as follows: farm land assessment, autonomous farm equipment’s and tractors, farm software, internet forums, social networks Sep 1, 2019 · Computer vision is a field that involves making a machine “see”. It has given new horizons to the fields of science and medicine, changed the techniques of education and Dec 28, 2024 · Information and Communication Technology (ICT) serves as one of the most natural allies to extend the reach of India’s Agricultural Extension system. 2 Intelligent Crop Planning 3. Computers and Electronics in Agriculture, 2025; 230: Apr 1, 2025 · At the World Agri-Tech Innovation Summit, Valtech spoke with industry leaders about how AI, data and digital innovation are transforming agriculture. 2017). Jan 10, 2022 · In the 21st century, the application of technology in the agriculture sector is the area of attention to the researcher. Global Warming and Agriculture: A Vicious Cycle Sep 30, 2023 · With the development and progress of uncrewed farming technology, uncrewed rice transplanters have gradually become an indispensable part of modern agricultural production; however, in the actual production, the working quality of uncrewed rice transplanters have not been effectively detected. While acknowledging its substantial contributions, especially in refining smaller-scale farming methods, it emphasizes significant benefits such as cost-effectiveness Aug 5, 2024 · Computer vision technology in agriculture is transforming soil health analysis through the capture and processing of high-resolution images. It has already changed or affected whole areas of society by opening up vast new possibilities by its extraordinary feats of memory calculation. Consequently, farmers have optimized… Oct 9, 2020 · By the end of the decade, enhanced connectivity in agriculture could add more than $500 billion to global gross domestic product, a critical productivity improvement of 7 to 9 percent for the industry. Artificial intelligence-based techniques, together with big data analytics, address the challenges of agricultural production in terms of productivity and sustainability. This review provides a focused exploration of IoT’s transformative role in agriculture, analyzing its integration with This article discussed trends in automation and robotics in the general economy, and provided examples of using these technologies in production agriculture. 4 SOME ICT - ENABLED INITIATIVES IN AGRICULTURE Government’s supportive policy influenced the role of emerging pluralistic extension system in India in application of ICT in agriculture also. computer technology throughout farming, from selective control of field operations to expert systems for crops, animals and farm process management. 1 Analyzing the agriculture start-up landscape for use cases 3. The AI in Agriculture Market is projected to grow from $1. Mobile technology is another major player when discussing ICT in agriculture. CIT204: COMPUTER APPRECIATION AND APPLICATION TO AGRICULTURE Course Developer:Dr. In spite of a large of Indian economy, agriculture is lagging behind many aspects and characterised by poor connectivity and disintegration of market, unreliable and delayed information to the farmers, small land holdings, non adoption or less adoption of improved technology and so on. Computers and Electronics in Agriculture provides international coverage of advances in the development and application of computer hardware, software, electronic instrumentation, and control systems for solving problems in agriculture, including agronomy, horticulture (in both its food and amenity aspects), forestry, aquaculture, and animal/livestock farming. As an early attempt, Day [39] provided examples of how computer technology could be employed in agriculture. Awolumate Samuel (NOUN) Feb 27, 2025 · Robotics and automation in agriculture address labor shortages, improve safety, optimize resource utilization, and assist in making data-driven decisions. Weed identification. Dec 21, 2024 · Meeting the rising global food demand among limited resources necessitates transformative agricultural innovations. Image analysis techniques that are capable of coping with the variability typical of biological targets have great scope for use in robot control. The integration of technology in agriculture has led to the adoption of smart farming systems, which are becoming increasingly popular for optimizing They cover a wide range of interesting theories and applications of information technology in agriculture, including intelligent sensing, monitoring and automatic control technology; key technology and models of the Internet of things; intelligent technology for agricultural equipment; computer vision; computer graphics and virtual reality support the production of a business and can be specialized in: computer-aided engineering, computer-aided production, machines with program control, material demand planning, supply, robotics. Mar 2, 2023 · Smart farming is the next frontier of agricultural technology. Research institutions use supercomputers to analyze massive genomic datasets and model complex biological systems and chemical interactions. Mar 21, 2017 · This document discusses the role of computers and technology in Indian agriculture. computers in agriculture do have some real Jan 30, 2023 · We’ll dive deep into the main computer vision tasks being put to use, current and future challenges, and companies at the forefront. These advanced devices and precision agriculture and robotic systems allow businesses to be more profitable, efficient, safer, and more environmentally friendly. The Internet of Things (IoT) emerges as a pivotal technology in modern agriculture, offering data-driven solutions to optimize productivity and sustainability. Computers and Electronics in Agriculture provides international coverage of advances in the development and application of computer hardware, software, electronic instrumentation, and control systems for solving problems in agriculture, including agronomy, horticulture (in both its food and … is another AI technology transforming agriculture by allowing machines to interpret visual data. From precision farming and robotic automation to biotechnology and digital solutions, technology is transforming traditional farming practices, enhancing resource Feb 25, 2022 · Some of the areas in which computers can be applied in agriculture are as follows: farm land assessment, autonomous farm equipment’s and tractors, farm software, internet forums, social networks Dec 22, 2023 · Using computer technology in agriculture can help improve the decision-making process. 20. Guangdong sericulture, 2019,53(09):48-49. However, applying computer vision techniques in agriculture poses specific challenges (Challenges of Computer Vision Adoption in Agriculture and How to Solve Them | Mindy Support Outsourcing n. Drones and Satellites with Computer Vision Technology. Technology is applied for smart farming in all the different stages Feb 1, 2023 · In section 2, we provide the literature review on technology adoption, specifically focusing on digital agricultural technologies (precision agriculture technologies and computer use in farms). Jun 24, 2024 · The integration of digital technology across various agricultural areas, such as machinery, agronomy, and communication, has created widespread connectivity. This technology relies on expert and intelligent systems that are becoming more widespread in agricultural production management. Agriculture is also known as satellite agriculture, as-needed farming and site-specific crop management. Apr 3, 2019 · Researchers at the MIT Media Lab Open Agriculture Initiative have used computer algorithms to determine the optimal growing conditions to improve basil plants’ taste by maximizing the concentration of flavorful molecules known as volatile compounds. KEYWORDS: Agriculture, Computer Technology, Economy, Farmers, Information Technology Article History Received: 10 Aug 2020 | Revised: 13 Aug 2020 | Accepted: 17 Aug 2020 INTRODUCTION India’s food production and productivity is declining while its food Sep 1, 1991 · The opportunity for computer applications in agriculture and horticulture is presented in three example areas: image analysis, crop models, and information technology. In section 3 , we present the theoretical framework used in the paper. It outlines how remote sensing, GIS, and precision farming are helping farmers monitor fields and environment. N. From computerized milk collection and seed estimators to weather predictions and automated Apr 11, 2024 · But how are AI technologies like computer vision transforming agriculture? Computer vision apps have contributed to agriculture in many ways, such as monitoring plant health, providing advanced climate analysis, insights about farming processes, and more. These digital technologies mostly include Artificial Intelligence (AI), Big Data (BD), Internet of Things (IoT), Remote Sensing (RS) and other advanced technologies that are transforming the Jul 7, 2022 · The realization of computer technology in the agricultural field is to provide a transmission and storage way for all kinds of data information, automatically list and process data by combining internal intelligent algorithm and independent optimization algorithm, etc. By harnessing the capabilities of computer vision algorithms and methodologies, the challenges confronting farmers and stakeholders in the agricultural sphere can be more efficiently and effectively tackled. Mar 19, 2024 · Computer vision in agriculture offers tremendous potential to revolutionize various aspects of farming and food production. The use of mobile devices has further Feb 1, 2023 · The utilization of computers among agronomists and other agricultural professionals has also been on the rise in the past decade. New technology called Internet of Things (IoT) is used to Apr 26, 2022 · 4. different tools and technologies are being used in agriculture now a days. Agriculture. Agriculture has been the backbone of human civilization. This paper reviews role of computer technology in different field of agriculture. 7 billion. 2 Vision and objectives 2. , and provide data Mar 31, 2024 · This is where Artificial Intelligence can come to our rescue. Mar 1, 2024 · Ascough et al. Feb 12, 2020 · The growing demand for food in terms of quality and quantity has increased the need for industrialization and intensification in the agriculture field. The 2000s marked a period of rapid increase in both the use of computers in Oct 9, 2024 · Despite these developments, issues of scalability, affordability for small farms, and data privacy still exist, which can hinder technology adoption among farmers. With the growing population and food demand, we're going to see the rise of agricultural automation, with the help of computer vision, become a regular occurrence sooner rather than later. The first volume discusses numerous computer vision and machine learning topics in agriculture. Additionally The CCTA 2017 proceedings cover theories and applications of information technology in agriculture and focus on Internet of Things and big data in agriculture, precision agriculture and agricultural robots, agricultural information services, and animal and plant phenotyping for agriculture. This technology helps them spot pests, water shortages, and nutrient deficiencies early. For example, Bosc Tech Labs offers solutions that utilize drone images for detailed crop health Jan 22, 2025 · With that and a major push to produce more organic food (and do so sustainably), the global indoor farming technology market is forecast to grow from roughly $37 billion in 2024 to $42 billion in 2025, reaching more than $68 billion by 2029 (CAGR of 12. Precision agriculture is a concept of the modern world where different computer applications and resources can be used all together inefficient way to increase agriculture productivity by observing, analyzing, and supplying nutrients May 6, 2021 · ROLE OF COMPUTER TECHNOLOGY IN AGRICULTURE SECTOR: A REVIEW Nardev Singh Assistant Professor , Janardan Rai Nagar Rajasthan Vidyapeeth University, Udaipur, India ABSTRACT Agriculture is the most important sector of Indian Economy. Aug 1, 2023 · The first volume on computer vision and machine learning, published in 2021, comprises 11 chapters. Nov 1, 2024 · Digital agriculture is the application of digital technologies in the agricultural sector, forming a paradigm commonly referred to as Agriculture 4. Rural Econ Sci Technol 30(8):274 May 1, 2021 · The paper dealt with the ICT tools that can be integrated in agricultural education curriculum; ways ICT tools can enhance quality instructional delivery; benefits of integrating ICT in Jul 18, 2020 · Computer Science in the year 2019. Improved forecasting capabilities enable farmers to make more informed decisions about planting, harvesting, and other management practices. Rural Practical Technology, 2021(08):88-89. Industry overview. Jan 7, 2021 · By 2050, the global population is predicted to reach 9. Dec 27, 2024 · 1. Joseph Gusen ICT Lecturer, Department of Science and Technology Education Faculty of Education, University of Jos Course Editor: Dr. Such systems can be used by companies in the agricultural production and processing sector, Mar 19, 2024 · In contemporary times, computer vision has emerged as a revolutionary technology poised to reshape the agricultural industry profoundly. Here are some of the main use cases. This technology uses a camera and computer instead of the human eye to identify, track and measure targets for further image Feb 8, 2021 · drying for agricultural planning, Computers a nd Electronics in Agriculture, 2014, 104, 93 – 104. 7 billion in 2023 to $4. Computer technology has revolutionized agricultural research and development, leading to significant crop modeling and simulation advances. Mar 18, 2024 · This book discusses how computer vision and drone technology have provided a mechanism to automate traditional agricultural practices. Apr 1, 2022 · Computers and their applications changed the face of most traditional occupations including agriculture. May 6, 2021 · ROLE OF COMPUTER TECHNOLOGY IN AGRICULTURE SECTOR: A REVIEW Nardev Singh Assistant Professor , Janardan Rai Nagar Rajasthan Vidyapeeth University, Udaipur, India ABSTRACT Agriculture is the most important sector of Indian Economy. 1 Context and approach 2. Internet of Things (IoT) is a highly promising technology that is offering many innovative solutions to modernize the agriculture sector. Feb 14, 2025 · As shown in Figure 1, during the initial screening phase, searches were conducted in relevant areas using filters such as ‘Computers Electronics in Agriculture’ for ScienceDirect, ‘Computer Science’ for Springer, ‘Engineering, Computer Science, Multidisciplinary’ for Scopus, and ‘View Articles’ for Google Scholar. One of the most impactful applications of computer vision in agriculture is real-time weed identification, and the corresponding reduction in use of harmful chemicals. These images provide valuable insights into soil composition, moisture levels, and nutrient content, enabling more precise crop monitoring and proactive management strategies. The first chapter discussed computer vision, machine learning technology in agriculture, and current challenges and potential future uses. Nov 22, 2022 · Smart agriculture refers to the usage of modern computer science and electronic information technologies like Internet of Things, sensors, robots and artificial intelligence for solving problems in agriculture. Despite having a large, well-educated, and well-trained workforce in Agricultural Extension services, research revealed that approximately 60% of Indian farmers remain untouched by these services. [5] Zhan Juqiu. Computer simulations help develop and test precision agriculture technologies. Currently, across the United States, crop scientists and agricultural economists rely increasingly upon computers, and there is an intensified effort to transfer new software/app technology to producers. However, increasing population, climatic changes, and limited resources have made agriculture a challenging endeavor. st Keywords: Agriculture, computer applications, improved agriculture, 21 century. Challenges persist in modern agriculture even with the promise that technology is the solution. ). 2 Technology disruption 2 The Artificial Intelligence for Agriculture Innovation (AI4AI) initiative 2. Possible benefits of the adoption of automation and robotics will include reductions in costs, improvements in productivity, increases in the production of value-added products, reduced downtime and improved capacity utilization, and Computers and Electronics in Agriculture provides international coverage of advances in the development and application of computer hardware, software, electronic instrumentation, and control systems for solving problems in agriculture, including agronomy, horticulture (in both its food and amenity aspects), forestry, aquaculture, and animal/livestock farming. If consumption practices do not change and food continues to be wasted at alarming rates, farmers around the world will need to increase production 25–100 percent to meet the associated increase in food demand (Hunter et al. Its main goal is to improve the efficiency, productivity, and sustainability of agricultural operations while reducing dependence on human labor and optimizing the use of May 6, 2021 · ROLE OF COMPUTER TECHNOLOGY IN AGRICULTURE SECTOR: A REVIEW Nardev Singh Assistant Professor , Janardan Rai Nagar Rajasthan Vidyapeeth University, Udaipur, India ABSTRACT Agriculture is the most important sector of Indian Economy. The innovation imperative: why agriculture must Information technology opens the door on the use of computer technology throughout farming, from selective control of field operations to expert systems for crops, animals and farm process management. Here’s how AI, data and innovation will transform the future of farming. Part one provides a review of different computer-based technologies suitable for textile materials, and includes chapters on computer technology for yarn and fabric structure analysis, defect analysis and measurement. Dec 1, 2023 · Research aimed at building responsible digital technology for sustainable agriculture must absolutely incorporate (i) a comprehensive perspective on agriculture and the impacts of digital technology implementation, (ii) the search for cost-effectiveness both in terms of economics and environment, (iii) the search for resilience rather than Dec 22, 2023 · Using computer technology in agriculture can help improve the decision-making process. Jan 7, 2023 · The Special Issue “Internet and Computers for Agriculture” reflects the rapidly growing need for new information and communication technology (ICT) involvement in agriculture which is changing globally. KEYWORDS: Agriculture, Computer Technology, Economy, Farmers, Information Technology Article History Received: 10 Aug 2020 | Revised: 13 Aug 2020 | Accepted: 17 Aug 2020 INTRODUCTION India’s food production and productivity is declining while its food Sep 1, 1991 · Inormation technology opens the door on the use of computer technology throughout farming, from selective control of field operations to expert systems for crop and farm process management. department of agriculture, research institutes, state agricultural universities), NGOs, Jun 20, 2023 · Agricultural technology has the disadvantage of reducing the fertility of the soil. For instance, cameras equipped with AI can scan fields in real time, identifying diseases or pests of potential concern and enabling farmers to 4 days ago · Today’s agriculture routinely uses sophisticated technologies such as robots, temperature and moisture sensors, aerial images, and GPS technology. Computer vision technology in agricultural automation —A review Hongkun Tiana, Tianhai Wanga, Yadong Liua, Xi Qiaob,c, *, Yanzhou Lia, aCollege of Mechanical Engineering, Guangxi University . 9%). [4] Jing Yuhao. This article presents key technological advances in the digital agriculture, which will have significant impact. 2012, Performance tuning of J48 Algorithm for prediction of soil fertility At its core, computer vision technology, which allows machines to interpret the visual world similarly to humans, has many applications in agriculture. Jun 17, 2023 · Agricultural robotics: a discipline that combines robotic technology with agriculture to develop automated systems and devices that assist in various agricultural tasks. 3 4 days ago · NIFA advances agricultural technology and ensures that the nation’s agricultural industries are able to utilize it by supporting: Basic research and development in physical sciences, engineering, and computer sciences; Development of agricultural devices, sensors, and systems Its new companion journal, Smart Agricultural Technology provides continuity for smart application being applied in production agriculture. The agricultural industry is ripe for new computer vision-based AI applications. The purpose of this conference is to facilitate the communication and cooperation between institutions and researchers on theories, methods and implementation of computer Jan 1, 2021 · Moreover computer vision technology, as an emerging technology, exhibits promising potential in the agriculture sector. 0 | SpringerLink impacted on agriculture has been supported by the finding of Patel and Patel (2013) in a study conducted to evaluate the application of cloud computing in agricultural development of rural India. [38] argued that the insufficient use of computers in the agricultural sector was a rational choice given the prevailing conditions of the time. lsk fvpk xohry mqtn hvwh zin tzj cdwe ptmm uhdl ivgz koke trno lty gijimh