scholarly journals Exploring Twitter Discourse around the Use of Artificial Intelligence to Advance Agricultural Sustainability

2021 ◽  
Vol 13 (21) ◽  
pp. 12033
Author(s):  
Catherine E. Sanders ◽  
Kennedy A. Mayfield-Smith ◽  
Alexa J. Lamm
Keyword(s):  
Artificial Intelligence ◽  
Precision Agriculture ◽  
Public Discourse ◽  
Agricultural Sector ◽  
New Technologies ◽  
Unintended Consequences ◽  
Lessons Learned ◽  
Public Scrutiny ◽  
Agricultural Innovations ◽  
Global Population

This paper presents an exploration of public discourse surrounding the use of artificial intelligence (AI) in agriculture, specifically related to precision agriculture techniques. (1) Advancements in the use of AI have increased its implementation in the agricultural sector, often framed as a sustainable solution for feeding a growing global population. However, lessons learned from previous agricultural innovations indicate that new technologies may face public scrutiny and suspicion, limiting the dissemination of the innovation. Using systems thinking approaches can help to improve the development and dissemination of agricultural innovations and limit the unintended consequences of innovations within society. (2) To analyze the current discourse surrounding AI in agriculture, a content analysis was conducted on Twitter using Meltwater to select tweets with specific reach and engagement. (3) Seven themes resulted from the analysis: precision agriculture and digital technology innovation; transformation and the future of agriculture; accelerate solutions, solve challenges; data management and accessibility; transforming crop management, prioritizing adoption; and AI and sustainability. (4) The discourse on AI in agriculture on Twitter was overwhelmingly positive, failing to account for the potential drawbacks or limits of the innovation. This paper examines the limits of the current communication and outreach across environmental, economic, social, cultural, political, and behavioral contexts.

scholarly journals Digitalization of Technological Processes of Crop Production in Russia

2019 ◽  
Vol 13 (1) ◽  
pp. 14-20 ◽  
Author(s):  
V. M. Korotchenya ◽  
G. I. Lichman ◽  
I. G. Smirnov
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Precision Agriculture ◽  
Crop Production ◽  
Agricultural Sector ◽  
Integral Approach ◽  
The Internet ◽  
Digital Agriculture ◽  
The Internet Of Things ◽  
And Robotics

Currently, the influence of program documents on digital agriculture development is rather great in our country. Within the framework of the European Association of Agricultural Mechanical Engineering, a relevant definition of agriculture 4.0 has been elaborated and introduced.Research purpose: offering general recommendations on the digitalization of agriculture in RussiaMaterials and methods. The authors make use of the normative approach: the core of digital agriculture is compared with the current state of the agricultural sector in Russia.Results and discussion. The analysis has found that digital agriculture (agriculture 4.0 and 5.0) is based on developed mechanized technologies (agriculture 2.0), precision agriculture technologies (agriculture 3.0), the use of such digital technologies and technical means as the Internet of things, artificial intelligence, and robotics. The success of introducing digital agriculture depends on the success of all the three levels of the system. However, the problem of the lack of agricultural machinery indicates insufficient development of mechanized technologies;  poor implementation of precision agriculture technologies means the lack of experience of using these technologies by the majority of farms in our country; an insufficient number of leading Russian IT companies (such as Amazon, Apple, Google, IBM, Intel, Microsoft etc.) weakens the country’s capacity in making a breakthrough in the development of the Internet of things, artificial intelligence, and robotics.Conclusions.The authors have identified the need to form scientific approaches to the digitization of technological operations used in the cultivation of agricultural crops and classified precision agriculture technologies. They have underlined that the digitization of agricultural production in Russia must be carried out along with intensified mechanization (energy saturation); also, to introduce technologies of precision agriculture and digital agriculture, it is necessary to organize state-funded centers for training farmers in the use of these technologies. Finally, it is necessary to take measures to strengthen the development of the IT sphere, as well as formulate an integral approach to the problem of digitalization.

scholarly journals Integrated application of drones for soil management and precision agriculture in Nigeria

2020 ◽  
pp. 21-30
Author(s):  
Agbakoba Augustine Azubuike ◽  
Ema Idongesit Asuquo ◽  
Agbakoba Victor Chike
Keyword(s):  
Precision Agriculture ◽  
Crop Production ◽  
Large Scale ◽  
Agricultural Sector ◽  
New Technologies ◽  
Arable Land ◽  
Agricultural Practices ◽  
Soil Management ◽  
Short Period ◽  
Information And Communication

The recent push for precision agriculture has resulted in the deployment of highly sophisticated Information and Communication Technology (ICT) gadgets in various agricultural practices and methods. The introduction of ICT devices has been linked to significant improvements in agricultural activities. These devices have been shown to enhance the optimal management of critical resources such as water, soil, crop and arable land. Again, ICT devices are increasingly attractive due to their flexibility, ease of operation, compactness and superior computational capabilities. Especially when in comparison to the mundane methods previously used by most small- and large-scale farmers. For instance, ICT devices such as Unmanned Aerial Vehicles (UAVs) also referred to as drones, are increasingly being deployed for remote sensing missions where they capture high quality spatial resolution images. The data generated by these UAVs provide much needed information that aids in early spotting of soil degradation, crop conditions, severity of weed infestation and overall monitoring of crop yield variability. This enables farmers to acquire on-the-spot information that will enhance decision making within a short period of time, which will in turn contribute to reduction in running cost and potentially increase yield. It is safe to say that full potentials of drones are yet to be fully utilized in the Nigerian agricultural sector. This is due to several factors; most notably are the numerous challenges that accompany the introduction and adoption of much new technologies. Other factors; include high cost of technology, inadequate or total lack of skilled labour, poor awareness and low-farmer literacy. Therefore, this review work highlights the global progress recorded as a result of the recent application of drones for soil management and efficient crop production. Furthermore, key discussions surrounding the application of drones for precision agriculture and the possible drawbacks facing the deployment of such technology in Nigeria has been covered in this work.

Digital technologies in african agriculture

2020 ◽  
Author(s):  
N. G. Gavrilova ◽  
Keyword(s):  
Agricultural Sector ◽  
New Technologies ◽  
Digital Technologies ◽  
Early Warning Systems ◽  
African Countries ◽  
Agricultural Transformation ◽  
Agricultural Innovations ◽  
African Agriculture ◽  
Mobile Information Services ◽  
Sufficient Food

The inability of African states to provide sufficient food to their populations is due to low levels of agricultural productivity. To achieve food security, it is necessary to carry out agricultural transformation, i.e. a structural reform of the agricultural sector, which entails a widespread introduction and use of innovations. In some African countries, digital technologies are already being introduced, such as mobile information services for farmers, early warning systems for hunger or disasters, warehouse receipt systems, etc. The main reasons for the lack of implementation of agricultural innovations in Africa include scarce funding, the low educational level of producers, underdeveloped infrastructure, limited access to information about new technologies, etc.

scholarly journals State regulation and support agrarian innovations in Ukraine

Ekonomika APK ◽  
2020 ◽  
Vol 313 (11) ◽  
pp. 119-136
Author(s):  
Oksana Radchenko ◽  
Liudmyla Tkach ◽  
Olena Dendebera
Keyword(s):  
Economic Development ◽  
Agricultural Sector ◽  
New Technologies ◽  
State Regulation ◽  
Agricultural Science ◽  
The State ◽  
Practical Significance ◽  
Scientific Publications ◽  
Scientific Institutions ◽  
Agricultural Innovations

The purpose of the article is to carry out a scientific generalization of the state of agricultural innovations and their state regulation in Ukraine on the example of scientific institutions. Research methods. The methodological basis of the research is the systemic method. A monographic method was used - for examining scientific publications of researchers on the problems of agricultural innovations and their state regulation; empirical, systemic and comparative analysis and synthesis, graphic methods - to assess the current state of science financing; statistical method - to assess the degree of government regulation and research funding; abstract-logical - for theoretical generalizations and conclusions. Research results. A review of scientific research on state regulation of agricultural innovations in Ukraine and the world is carried out. Shows the innovative position of Ukraine in international ratings. The state regulation of innovations through the analysis of the dynamics and efficiency of expenditures on agricultural science is investigated. Scientific novelty. The definition of state regulation of agricultural innovations was further developed as the choice of a certain model of organizational, regulatory, management measures for the creation and transfer of new technologies aimed at the formation of interrelated mechanisms of institutional, resource support for the support and development of innovative activities in agriculture for the purpose of socio-economic development. The substantiation of dependence of dynamics and efficiency of expenses on agrarian science and other spheres of economic activity in interrelation with macroeconomic indicators was deepened. Practical significance. Conclusions are made about the need to form a strategy for innovative development of the agricultural sector by supporting innovation and the IT industry; further cooperation between manufacturers, scientific institutions and the state. It is recommended to borrow foreign experience in terms of processing the state's strategy for regulating innovation in the agricultural sector, depending on the phase of economic development and budgetary opportunities. Tabl.: 5. Figs.: 4. Refs.: 38.

scholarly journals Automatic Visual Inspection of Grains Quality In Agroindustry 4.0

2018 ◽  
Vol 6 (3) ◽  
pp. 2017-216
Author(s):  
Robson Aparecido Gomes de Macedo ◽  
Wilson Dias Marques ◽  
Peterson Adriano Belan ◽  
Sidnei Alves Arujo
Keyword(s):  
Precision Agriculture ◽  
Visual Inspection ◽  
Agricultural Sector ◽  
New Technologies ◽  
Land Preparation ◽  
Modern Agriculture ◽  
Automatic Visual Inspection ◽  
Quality Of Products ◽  
The One

With the advent of Industry 4.0, the use of new technologies, robotization and advanced manufacturing has been extended to the agricultural sector, with the aim of increasing productivity, reducing environmental impacts, increasing profits and improving the quality of products, giving rise to the terms Precision Agriculture, Agribusiness 4.0, Agriculture 4.0 and Agroindustry 4.0. If on the one hand much is being said about the adoption of new technologies in the stages of land preparation, planting and harvesting, on the other hand very little is said about the processing of agricultural products using, for example, automated systems for visual inspection of quality. This work aims to investigate the different approaches for automatic visual inspection of grains quality proposed in the last decade and present a discussion about how these approaches are inserted in the context of these new productive processes of modern agriculture, as well as the positive aspects and the limitations found for their uses.

scholarly journals The Prospect of Artificial Intelligence (AI) in Precision Agriculture for Farming Systems Productivity in Sub-Tropical India: A Review

2020 ◽  
pp. 96-110
Author(s):  
R. K. Naresh ◽  
M. Sharath Chandra ◽  
. Vivek ◽  
. Shivangi ◽  
G. R. Charankumar ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Precision Agriculture ◽  
Agricultural Sector ◽  
Cropping Systems ◽  
Agricultural Practices ◽  
Farming Systems ◽  
Global Market ◽  
Reliable Source ◽  
Increase In Productivity ◽  
Food Safety And Quality

Agriculture is becoming more integrated in the agro-food chain and the global market, while environmental, food safety and quality are also increasingly impacting on the sector. It is facing with new challenges to meet growing demands for food, to be internationally competitive and to produce agricultural products of high quality. To cope with these challenges, Agriculture requires a continuous and sustainable increase in productivity and efficiency on all levels of agricultural production, while resources like water, energy, fertilizers etc. need to be used carefully and efficiently in order to protect and maintain the soil quality and environment. Consequently, Agriculture needs help in handling the complexity, uncertainty and fuzziness inherent in this domain. It requires new solutions for all aspects of agricultural farming, including precision farming and optimized resource application. Artificial Intelligence (AI) technology helps various industries to improve production and productivity. In agriculture, AI also allows farmers to increase their productivity and reduce negative environmental impacts. AI is changing the way our food is processed, where emissions from the agricultural sector have decreased by 20%. Together with precision agriculture (PA) and other emerging technologies, artificial intelligence (AI) can play a key role in modernizing agricultural practices and achieving the goal of improving the productivity of alternative arable cropping systems. In offering progressive change with advanced approaches, AI's future in agriculture is well ahead. The aim of this paper is to review various agricultural intelligence applications and to reduce the use of colossal amounts of chemicals with the aid of these technologies, resulting in reduced spending, improved soil fertility and increased productivity. With AI tools and machine learning, farmers can improve yields, protect their crops and have a much more reliable source of food.

scholarly journals A Methodology for Semantic Enrichment of Cultural Heritage Images Using Artificial Intelligence Technologies

2021 ◽  
Vol 7 (8) ◽  
pp. 121
Author(s):  
Yalemisew Abgaz ◽  
Renato Rocha Souza ◽  
Japesh Methuku ◽  
Gerda Koch ◽  
Amelie Dorn
Keyword(s):  
Artificial Intelligence ◽  
Cultural Heritage ◽  
Cultural Values ◽  
New Technologies ◽  
Lessons Learned ◽  
Future Research ◽  
Semantic Web Technologies ◽  
Research Areas ◽  
Abstract Content

Cultural heritage images are among the primary media for communicating and preserving the cultural values of a society. The images represent concrete and abstract content and symbolise the social, economic, political, and cultural values of the society. However, an enormous amount of such values embedded in the images is left unexploited partly due to the absence of methodological and technical solutions to capture, represent, and exploit the latent information. With the emergence of new technologies and availability of cultural heritage images in digital formats, the methodology followed to semantically enrich and utilise such resources become a vital factor in supporting users need. This paper presents a methodology proposed to unearth the cultural information communicated via cultural digital images by applying Artificial Intelligence (AI) technologies (such as Computer Vision (CV) and semantic web technologies). To this end, the paper presents a methodology that enables efficient analysis and enrichment of a large collection of cultural images covering all the major phases and tasks. The proposed method is applied and tested using a case study on cultural image collections from the Europeana platform. The paper further presents the analysis of the case study, the challenges, the lessons learned, and promising future research areas on the topic.

scholarly journals Technological Change and Innovation as Security Threats

2020 ◽  
Vol 74 ◽  
pp. 02015
Author(s):  
Jan Martin Rolenc
Keyword(s):  
Technological Change ◽  
Public Discourse ◽  
Nuclear Fission ◽  
Unintended Consequences ◽  
Lessons Learned ◽  
Security Threats ◽  
The Public ◽  
Economic Progress ◽  
Globalizing World ◽  
Related Development

Technological change and innovation, together with the related development of science, have been perceived as drivers of social and economic progress and public optimism in the globalizing world. Indeed, in the past centuries and especially decades, there has been a huge advancement of humankind that can be both felt and measured. However, people have also learned that science and technology can be misused or abused, or they can have unintended consequences (cf. nuclear fission). Especially in times when the public feels that the change is fast and unprecedented, they also provoke fear and resentment. Science, technological change, and innovation can be presented and perceived as security threats, i.e. securitized. It seems that, now, we are living in one of such historical periods. The goal of the paper is to analyse if and how technological change and innovation are presented or perceived as security threats, especially in the Czech political and public discourse. To reach the goal, we can ask the following research questions: Are science, technological change, and innovation securitized? What are the concrete examples of emerging technologies and innovations that are securitized? (e.g. artificial intelligence and robotics, biotechnologies) Is the narrative present in the Czech political and public discourse? Is the securitization process successful? What are the lessons learned and recommendations for policy?

scholarly journals Research on Innovative Training on Smart Greenhouse Technologies for Economic and Environmental Sustainability

2021 ◽  
Vol 13 (19) ◽  
pp. 10536
Author(s):  
Angeliki Kavga ◽  
Vasileios Thomopoulos ◽  
Pantelis Barouchas ◽  
Nikolaos Stefanakis ◽  
Aglaia Liopa-Tsakalidi
Keyword(s):  
Sustainable Agriculture ◽  
Precision Agriculture ◽  
Environmental Sustainability ◽  
Agricultural Sector ◽  
New Technologies ◽  
Crop Yields ◽  
Production Costs ◽  
Graphical Form ◽  
Climate Control ◽  
Lack Of Knowledge

Great advancements in technologies such as big data analytics, robots, remote sensing, the Internet of Things, decision support systems and artificial intelligence have transformed the agricultural sector. In the greenhouse sector, these technologies help farmers increase their profits and crop yields while minimizing the production costs, produce in a more environmentally friendly way and mitigate the risks caused by climate change. In greenhouse farming, especially in the Mediterranean region, a lack of knowledge and qualified personnel able to uptake new knowledge, the small size of farms, etc., make it difficult to implement new technologies. Although it is necessary to demonstrate the advantages of innovations related to sustainable agriculture, there is a little opportunity for specific training on greenhouse production in cutting-edge technologies. To gain insight into this problem, questionnaires for greenhouse farmers and intermediaries were developed in multiple choice format and filled in by the stakeholders. A statistical analysis was performed, and the results are presented in graphical form. In most cases, the findings confirmed that producers who run small farms, in most cases, have a lack of knowledge, especially on how to manage climate control systems or fertigation systems. The majority of farmers were elderly with a low level of education, which makes it difficult to be aware of the training issues, due to distrust and a lack of innovation culture. Therefore, their strategy was usually survival with cost control. However, young graduates have been recently returning to agriculture, and they are open to training activities and innovation. The most desirable training offer should be related to sustainable agriculture and precision agriculture technologies.

Environmental Benefits of Precision Agriculture Adoption

2020 ◽  
pp. 637-656 ◽  
Author(s):  
Marco Medici ◽  
Søren Marcus Pedersen ◽  
Giacomo Carli ◽  
Maria Rita Tagliaventi
Keyword(s):  
Environmental Impacts ◽  
Precision Agriculture ◽  
New Technologies ◽  
Environmental Benefits ◽  
Herbicide Application ◽  
Pesticide Application ◽  
Policy Makers ◽  
Application Rates ◽  
Biodiversity Policy ◽  
Lime Application

The purpose of this study is to analyse the environmental benefits of precision agriculture technology adoption obtained from the mitigation of negative environmental impacts of agricultural inputs in modern farming. Our literature review of the environmental benefits related to the adoption of precision agriculture solutions is aimed at raising farmers' and other stakeholders' awareness of the actual environmental impacts from this set of new technologies. Existing studies were categorised according to the environmental impacts of different agricultural activities: nitrogen application, lime application, pesticide application, manure application and herbicide application. Our findings highlighted the effects of the reduction of input application rates and the consequent impacts on climate, soil, water and biodiversity. Policy makers can benefit from the outcomes of this study developing an understanding of the environmental impact of precision agriculture in order to promote and support initiatives aimed at fostering sustainable agriculture.

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