Abstract
The principle behind artificial intelligence (AI) is utilization of human intelligence in such an easy way that a machine can easily understand and execute from the simplest to toughest tasks. The main aim of AI includes learning, reasoning and perception. AI is having a huge application in all sectors of the society, starting from industry, healthcare, finance to agriculture. Machine learning (ML) is a part of artificial intelligence (AI) that can be applied to phenome, genome, genotype, transcriptome and proteome data to generate predictive models. Deep learning is a subset of machine learning in which artificial neural networks, algorithms inspired by the human brain, learn from a huge amount of data. Deep learning also allows the machines to solve the problems which are complex and leveraged with very diverse, unstructured and interconnected data. The more deep learning algorithms learn, the better is the performance. Agriculture is the oldest and most important profession in the world that is done to meet hunger and economic needs of the country. With an estimated population rise of nine billion by 2050, an increase in agricultural production by more than 70% is necessary to feed the population. Traditional methods of farming face several challenges like flood, drought, crop diseases, storage, etc. So, we need a smarter approach like AI to become more efficient and productive in agriculture. Artificial intelligence technologies help in yielding healthier crops; control pests; monitor soil and its growing conditions; organize data for farmers; help with the workload; help in irrigation, weeding and spraying with the help of sensors; and improve a wide range of agriculture-related tasks in the entire food supply chain. By the use of artificial intelligence, various products have been developed like drones, robots and automated machines which can revolutionize agriculture in the near future by providing more useful applications to this sector. Artificial intelligence will help the world deal with food production issues for the growing population.
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Singh, S., Jain, P. (2022). Applications of Artificial Intelligence for the Development of Sustainable Agriculture. In: Kumar, P., Tomar, R.S., Bhat, J.A., Dobriyal, M., Rani, M. (eds) Agro-biodiversity and Agri-ecosystem Management. Springer, Singapore. https://doi.org/10.1007/978-981-19-0928-3_16
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