smart crops protection system from animals using iot and deep learning
S. VIGNESAN,S.YUVANESHWARAN,S.RATHANA SABAPATHY B. E., M. TECH.,
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:6 Issue:3 Year: 09 April,2021 Pages:1544-1549
Abstract
Agriculture is the primary source of livelihood for about 58% of India’s population. Gross Value Added (GVA) by agriculture, forestry and fishing was estimated at Rs. 19.48 lakh crore (US$ 276.37 billion) in FY20 (PE). Growth in GVA in agriculture and allied sectors stood at 4% in FY20. It’s starting to become common knowledge that animal agriculture is damaging our environment. While more people are switching to a vegan diet, and studies are being conducted that show the environmental impact, the world is waking up to the the link between environmental damage and animal agriculture. Crops in farms are many times ravaged by local animals like buffaloes, cows, goats, birds etc. This leads to huge losses for the farmers. It is not possible for farmers to barricade entire fields or stay on field 24 hours and guard it. We propose a deep learning method for animal detection and unknown person. In this project we will be developing a system to detect the wild animals trespassing agricultural fields. Animal detection and classification can help to prevent farmer land damage, trace animals and prevent loss of crop.
Kewords
Agriculture,Deep Learning
Reference
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