ARTIFICIAL INTELLIGENCE IN INSECT PESTS MANAGEMENT - Muthusamy, Kandibane;SINGADURAI, SAKTHIVEL
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Agriculture is the main source of the Indian economy and about 70 per cent of India's rural population is dependent on agriculture for their livelihood. Agriculture is one of the main contributors to the Gross Domestic Product in India. Pest plays a great impact in decreasing the productivity, more than 35 % of productivity had decreased by different pest. Artificial Intelligence (A. I.) and Machine learning are fostering more sustainable and effective solutions for a wide spectrum of agricultural problems. Pest management is a major challenge for crop production that can benefit from machine…mehr

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Produktbeschreibung
Agriculture is the main source of the Indian economy and about 70 per cent of India's rural population is dependent on agriculture for their livelihood. Agriculture is one of the main contributors to the Gross Domestic Product in India. Pest plays a great impact in decreasing the productivity, more than 35 % of productivity had decreased by different pest. Artificial Intelligence (A. I.) and Machine learning are fostering more sustainable and effective solutions for a wide spectrum of agricultural problems. Pest management is a major challenge for crop production that can benefit from machine learning techniques to detect and monitor specific pests. Traditional monitoring is labour intensive, time demanding and expensive, whereas machine learning paradigms may support cost effective crop protection decisions in large area production.
Autorenporträt
The author has been working as an Professor (Agrl. Entomology) at PAJANCOA & RI, Karaikal, Union Territory of Puducherry, India, from 2006. The author has nineteen years of teaching, research and extension experience. He has guided 23 post graduate entomology students within ten years.