9786208442965 - ARTIFICIAL INTELLIGENCE IN INSECT PESTS MANAGEMENT de Muthusamy, Kandibane; SINGADURAI, SAKTHIVEL (8 resultados)

Condición: New.

Taschenbuch. Condición: Neu. ARTIFICIAL INTELLIGENCE IN INSECT PESTS MANAGEMENT | Kandibane Muthusamy (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208442965 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 108 pp. Englisch.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Condición: New. PRINT ON DEMAND.