A smart farmland for crop prevention and animal intrusion detection using cnn
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This project aims to protect farmland from animal intrusions using sensors and a Raspberry Pi computer. PIR motion sensors detect intrusions and the Pi camera takes photos. A Convolutional Neural Network (CNN) classifies the intruding animals as local or wild based on the photos. If a wild animal is detected, warning sounds are played to ward it off and an SMS is sent to the landowner. Data on all intrusions is sent to the cloud for remote access and analysis of intrusion patterns. The goal is to provide a solution to damage from wild animals without harming the animals or risking human lives.
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3) proposed solutions include expanding irrigation, improving seed and fertilizer access, strengthening extension services, and promoting livestock, horticulture, and rural agro-processing to diversify livelihoods.
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A smart farmland for crop prevention and animal intrusion detection using cnn
- 1. 2020 – 2021 #13/ 19, 1st Floor, Municipal Colony, Kangayanellore Road, Gandhi Nagar, Vellore – 6. Off: 0416-2247353 Mo: +91 9500218218 / +91 8220150373 Website: www.shakastech.com, Email - id: shakastech@gmail.com, info@shakastech.com A smart farmland for crop prevention and animal intrusion detection using CNN Abstract: Agriculture plays a major role in the development of a country. Issues concerning agribusiness have beencontinuallythwartingthe advancementof the nation.Farmersface a huge numberof issues, for example, insufficiency of water for irrigation, crops withering because of climatic changes,soilslackinginnutrientsandharm to crops because of pestsand wildlife.Inthe course of recentdecadesinnovationhascreatedto give proficientsolutionsforhuge numbersof these issues.Inanycase,the protectionof farmfromwildcreatureshasnotbeenadequatelytendedto till now.Elephants,monkeys,wildboarsetc.causesseriousdamage tothe fields.Theproductivity isdecreasedbythe wildcreaturestramplingoverharvestsandeatingthem.Thisprojectprovides a solution for these problems without hurting creatures or setting human life at stake. In this projectwe use Raspberrypi toprotectthefarmlandfromanimals.Farmlandintrusionsisdetected utilizingPIRsensorsandphotosare take utilizingPi camera.Classificationof the intrudedanimals as local or wild animals is done using the photos taken utilizing Convolutional Neural Network. CNN a special architecture of artificial neural networks model is mainly used for classificationof images. After classification is done accordinglysounds are usedto ward off the creature and an SMS issentonaccountof wildcreature tothe landowner.Dataregardingtheseintrusionsof wild and domesticcreaturesare sentto cloud by meansof web.Thisway it is easyto arrive at useful information regarding the intrusions and take measures against it