Enabling Smart Agriculture by Implementing Artificial Intelligence and Embedded Sensing

2022 ◽  
pp. 107936
Author(s):  
Ashutosh Sharma ◽  
Mikhail Georgi ◽  
Maxim Tregubenko ◽  
Alexey Tselykh ◽  
Alexander Tselykh
Keyword(s):  
Artificial Intelligence ◽  
Embedded Sensing ◽  
Smart Agriculture

Disrupting Agriculture

2021 ◽  
pp. 771-812
Author(s):  
Omar F. El-Gayar ◽  
Martinson Q. Ofori
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Big Data ◽  
New Paradigm ◽  
Agricultural Industry ◽  
Decision Systems ◽  
Food And Agriculture ◽  
Key Stakeholders ◽  
Smart Agriculture ◽  
Key Aspects

The United Nations (UN) Food and Agriculture (FAO) estimates that farmers will need to produce about 70% more food by 2050. To accommodate the growing demand, the agricultural industry has grown from labor-intensive to smart agriculture, or Agriculture 4.0, which includes farm equipment that are enhanced using autonomous unmanned decision systems (robotics), big data, and artificial intelligence. In this chapter, the authors conduct a systematic review focusing on big data and artificial intelligence in agriculture. To further guide the literature review process and organize the findings, they devise a framework based on extant literature. The framework is aimed to capture key aspects of agricultural processes, supporting supply chain, key stakeholders with a particular emphasis on the potential, drivers, and challenges of big data and artificial intelligence. They discuss how this new paradigm may be shaped differently depending on context, namely developed and developing countries.

Artificial Intelligence and Its Applications in Agriculture With the Future of Smart Agriculture Techniques

2021 ◽  
pp. 25-39
Author(s):  
Harshit Bhardwaj ◽  
Pradeep Tomar ◽  
Aditi Sakalle ◽  
Uttam Sharma
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Food Supply ◽  
Food Supply Chain ◽  
Wide Range ◽  
The World ◽  
The Future ◽  
Entire Society ◽  
Smart Agriculture ◽  
Growing Conditions

Agriculture is the oldest and most dynamic occupation throughout the world. Since the population of world is always increasing and land is becoming rare, there evolves an urgent need for the entire society to think inventive and to find new affective solutions to farm, using less land to produce extra crops and growing the productivity and yield of those farmed acres. Agriculture is now turning to artificial intelligence (AI) technology worldwide to help yield healthier crops, track soil, manage pests, growing conditions, coordinate farmers' data, help with the workload, and advance a wide range of agricultural tasks across the entire food supply chain.

scholarly journals «Agriculture 4.0» – a project of the future or a platform for responding to major challenges and threats to national security

2020 ◽  
pp. 84-94
Author(s):  
Yulia A. Romanova ◽  
◽  
Elena V. Levina ◽  
Keyword(s):  
Artificial Intelligence ◽  
National Security ◽  
Food Systems ◽  
Synthetic Protein ◽  
The Future ◽  
Analysis And Synthesis ◽  
Digital Development ◽  
New Type ◽  
Smart Agriculture ◽  
Protein Cell

The purpose of the article is to study «Agriculture 4.0» as a project of the future or a platform for responding to major challenges and threats to national security. The methodology of this study was based on the methods of analysis and synthesis, comparison, generalization and systematization, as well as the structural-logical approach, analysis of open empirical statistical data and the graphical method. Results. The article examines the theoretical and practical foundations of the directions of digital development of agriculture. The necessity of transformation of modern techniques and technologies for managing the development of agriculture on the principles of sustainable development into a qualitatively new type – «Agriculture 4.0», digital economy or smart agriculture is substantiated. This paper focuses on four main technologies: the Internet of Things, blockchain, big data and artificial intelligence. Conclusions. The Agriculture 4.0 project is comprised of a variety of existing or emerging technologies such as robotics, nanotechnology, synthetic protein, cell agriculture, gene editing technology, artificial intelligence, blockchain and machine learning, which could have overarching impact on future agricultural and food systems. It can ensure the creation of economic, environmental and social benefits and be a response to challenges and threats to national security.

Enabling Precision Agriculture Through Embedded Sensing With Artificial Intelligence

2020 ◽  
Vol 69 (7) ◽  
pp. 4103-4113 ◽  
Author(s):  
Dmitrii Shadrin ◽  
Alexander Menshchikov ◽  
Andrey Somov ◽  
Gerhild Bornemann ◽  
Jens Hauslage ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Precision Agriculture ◽  
Embedded Sensing

Digital Technologies for Smart Agriculture

2021 ◽  
pp. 54-67
Author(s):  
Garima Singh ◽  
Gurjit Kaur
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Cloud Computing ◽  
Digital Technologies ◽  
Agricultural Crop ◽  
Seed Selection ◽  
Crop Selection ◽  
Soil Preparation ◽  
Crop Cycle ◽  
Smart Agriculture

This chapter will provide the reader with an introduction to the modern emerging technologies like cloud computing, machine learning, and artificial intelligence used in agriculture. Then a glimpse of complete crop cycle follows, including seven steps, namely crop selection, soil preparation, seed selection, seed sowing, irrigation, crop growth, fertilizing and harvesting; and how these digital technologies are helpful for the crop cycle is also explained in this chapter. The rest of the chapter will explain the merger of the modern digital technologies with the agricultural crop cycle and how the future farming will work.

Disrupting Agriculture

2020 ◽  
pp. 174-215 ◽  
Author(s):  
Omar F. El-Gayar ◽  
Martinson Q. Ofori
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Big Data ◽  
New Paradigm ◽  
Agricultural Industry ◽  
Decision Systems ◽  
Food And Agriculture ◽  
Key Stakeholders ◽  
Smart Agriculture ◽  
Key Aspects

The United Nations (UN) Food and Agriculture (FAO) estimates that farmers will need to produce about 70% more food by 2050. To accommodate the growing demand, the agricultural industry has grown from labor-intensive to smart agriculture, or Agriculture 4.0, which includes farm equipment that are enhanced using autonomous unmanned decision systems (robotics), big data, and artificial intelligence. In this chapter, the authors conduct a systematic review focusing on big data and artificial intelligence in agriculture. To further guide the literature review process and organize the findings, they devise a framework based on extant literature. The framework is aimed to capture key aspects of agricultural processes, supporting supply chain, key stakeholders with a particular emphasis on the potential, drivers, and challenges of big data and artificial intelligence. They discuss how this new paradigm may be shaped differently depending on context, namely developed and developing countries.

Applications of Artificial Intelligence for Smart Agriculture

2021 ◽  
pp. 277-288
Author(s):  
Suresh Sankaranarayanan
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Smart City ◽  
Autonomous Robots ◽  
Smart Cities ◽  
Building Blocks ◽  
City Management ◽  
Latency Reduction ◽  
Smart Agriculture ◽  
Growing Population

Smart cities is the latest buzzword towards bringing innovation, technology, and intelligence for meeting the demand of ever-growing population. Technologies like internet of things (IoT), artificial intelligence (AI), edge computing, big data, wireless communication are the main building blocks for smart city project initiatives. Now with the upcoming of latest technologies like IoT-enabled sensors, drones, and autonomous robots, they have their application in agriculture along with AI towards smart agriculture. In addition to traditional farming called outdoor farming, a lot of insights have gone with the advent of IoT technologies and artificial intelligence in indoor farming like hydroponics, aeroponics. Now along with IoT, artificial intelligence, big data, and analytics for smart city management towards smart agriculture, there is big trend towards fog/edge, which extends the cloud computing towards bandwidth, latency reduction. This chapter focuses on artificial intelligence in IoT-edge for smart agriculture.

scholarly journals Introduction of Smart Agriculture

2021 ◽  
pp. 187-190
Author(s):  
Christian Zinke-Wehlmann ◽  
Karel Charvát
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Linked Data ◽  
Smart Agriculture

AbstractSmart agriculture is a rising area bringing the benefits of digitalization through big data, artificial intelligence and linked data into the agricultural domain. This chapter motivates the use and describes the rise of smart agriculture.

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