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Application of Artificial Intelligence and Machine Learning in Agriculture
Artificial intelligence (AI) is the branch of science that deals with the development of machines to mimic human intelligence. Machine learning (ML)...
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Robotics and Artificial Intelligence (AI) in Agriculture with Major Emphasis on Food Crops
The current review deals with various aspects of robotics and artificial intelligence (AI) in agriculture with particular emphasis on food crops. The...
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Artificial Intelligence in Genomic Studies
The presented chapter sheds some insight on some of the recent Artificial Intelligence (AI) based breakthroughs in the field of genomics. First...
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Plant Disease Diagnosis with Artificial Intelligence (AI)
Plant diseases, which are unseen but deadly, endanger our crops and the food security of nations. However, optimism stems from the convergence of...
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Applications of Artificial Intelligence for the Development of Sustainable Agriculture
The principle behind artificial intelligence (AI) is utilization of human intelligence in such an easy way that a machine can easily understand and...
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Nanotechnology and artificial intelligence to enable sustainable and precision agriculture
Climate change, increasing populations, competing demands on land for production of biofuels and declining soil quality are challenging global food...
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Research agenda for using artificial intelligence in health governance: interpretive sco** review and framework
BackgroundThe governance of health systems is complex in nature due to several intertwined and multi-dimensional factors contributing to it. Recent...
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Prediction of Plant Disease Using Artificial Intelligence
Plant diseases are a persistent threat to global food security due to their ability to damage crops. They account for 20–40% of loss of global food...
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Artificial Intelligence Methods in Marine Biotechnology
Artificial Intelligence (AI) approaches allow users to apply algorithms and evaluate data and apply them in various industries, including marine...
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Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior
The use of Artificial Intelligence (AI) in agriculture is expected to yield advantages such as savings in production resources, labor costs, and...
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Data-driven agriculture and sustainable farming: friends or foes?
Sustainability in our food and fiber agriculture systems is inherently knowledge intensive. It is more likely to be achieved by using all the...
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Predicting the anthropogenic impacts on vegetation diversity of protected rangelands: an application of artificial intelligence
This study delves into anthropogenic impacts on vegetation diversity within mountainous protected rangelands, exploring habitat weakening and...
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Artificial Intelligence for Image Processing in Agriculture
Convolutional neural networks (CNNs) are deep learning algorithms that are particularly useful for analyzing and interpreting images. This chapter...
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Role of artificial intelligence (AI) in fish growth and health status monitoring: a review on sustainable aquaculture
Aquaculture plays a crucial role in meeting the growing global demand for seafood, but it faces challenges in terms of fish growth and health...
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Artificial intelligence assisted food science and nutrition perspective for smart nutrition research and healthcare
Artificial Intelligence (AI) has the potential to dramatically change the field of healthcare and nutrition by imitating human cognitive processes....
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An artificial intelligence approach of feature engineering and ensemble methods depicts the rumen microbiome contribution to feed efficiency in dairy cows
Genetic selection has remarkably helped U.S. dairy farms to decrease their carbon footprint by more than doubling milk production per cow over time....
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Neural Networks for Smart Agriculture
Smart agriculture is proposed to reduce workloads, enhance decision-making and management, and increase profitability by utilizing advanced...
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Integrating speed breeding with artificial intelligence for develo** climate-smart crops
IntroductionIn climate change, breeding crop plants with improved productivity, sustainability, and adaptability has become a daunting challenge to...
