Image Processing based Crop Protection and Road Accident Prevention System using Intelligence Surveillance

Autor: Robin, Kiran Thomas P, Sheeba Babu, Nandhana Nair, V, Nihal Shabeer K, Mathew, Sandra Sara
Rok vydání: 2023
Předmět:
DOI: 10.5281/zenodo.8013779
Popis: One of the major problems that farmers encounter is that wild animals that invade their crops destroy their output. The disruption of wild animals has always been a problem for ranchers.Animals including wild boar, deer, wild buffalo, elephants, tigers, monkeys, and others pose a threat to crop output. One of the major risks in lowering the harvest yield is crop loss caused by animal attacks. Crop striking is one of the most significant human-animal conflicts as a result of the expansion of cultivated land into former wildlife habitat. It is crucial to thoroughly and effectively inspect wild animals in their natural habitat. This initiative promotes a method to recognise animals that trespass on agricultural property. As there are so many different creatures, it might be difficult to physically identify between them. This computation groups animals according to their images so we may more effectively screen them. They also assist in making the distinction between an animal and a human, which is very helpful in identifying the invader.
Databáze: OpenAIRE