menu
{ "item_title" : "Artificial Intelligence in Insect Pests Management", "item_author" : [" Kandibane Muthusamy", "Sakthivel Singadurai "], "item_description" : "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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/6/20/844/296/6208442966_b.jpg", "price_data" : { "retail_price" : "69.00", "online_price" : "69.00", "our_price" : "69.00", "club_price" : "69.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Artificial Intelligence in Insect Pests Management|Kandibane Muthusamy

Artificial Intelligence in Insect Pests Management

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9786208442965
  • ISBN-10: 6208442966
  • Publisher: LAP Lambert Academic Publishing
  • Publish Date: April 2025
  • Dimensions: 9 x 6 x 0.26 inches
  • Shipping Weight: 0.34 pounds
  • Page Count: 108

Related Categories

You May Also Like...

    1

BAM Customer Reviews