International Journal of Emerging Trends in Science & Technology

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IOT based Smart Farming


Affiliations
1 Assistant Professor, Department of Electronics and Communication Engineering, M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India
2 Associate Professor, Department of Electronics and Communication Engineering, M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India
     

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Agriculture is cultivation of plants and fungi for meals, fiber, bio fuel, medicinal flowers and different merchandise used to maintain and decorate human life. Agriculture zone in India is diminishing daily which influences the manufacturing ability of ecosystem. In India approximately 70% of populace relies upon farming and one 1/3 of the nation’s capital comes from farming. Currently all around the world, it's miles discovered that round 50% of the farm produce in no way attain the give up client because of wastage. Smart farming is an rising concept, due to the fact IoT sensors able to supplying facts approximately soil pH, soil moisture, temperature, humidity. For stopping the losses with inside the yield and the amount of the rural product, type is performed, if right evaluation isn't taken on this method of type, then it produces extreme results on flowers and because of which respective product best or productiveness is affected. Crops are without problems and necessarily broken through pest, in order to substantially have an effect on the best and amount of the rural merchandise. Detecting and spotting the pests quick and efficaciously is the precondition of crop pest control. The conventional approach of pest popularity specially relies upon at the guide manner that calls for an professional human eye to discover the pest. This brings a few issues consisting of low actual time overall performance and efficiency, exertions intensity, etc. To gain automated popularity of agricultural pests, we evolved a pest popularity gadget primarily based totally on photo processing method. The photo segmentation method is used to discover the presence of pests in leaf images.

Keywords

Finishing Activities, Productivity, Quality Control, Safety Measures
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  • IOT based Smart Farming

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Authors

K. Kaarthik
Assistant Professor, Department of Electronics and Communication Engineering, M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India
S. Palanivelrajan
Associate Professor, Department of Electronics and Communication Engineering, M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India

Abstract


Agriculture is cultivation of plants and fungi for meals, fiber, bio fuel, medicinal flowers and different merchandise used to maintain and decorate human life. Agriculture zone in India is diminishing daily which influences the manufacturing ability of ecosystem. In India approximately 70% of populace relies upon farming and one 1/3 of the nation’s capital comes from farming. Currently all around the world, it's miles discovered that round 50% of the farm produce in no way attain the give up client because of wastage. Smart farming is an rising concept, due to the fact IoT sensors able to supplying facts approximately soil pH, soil moisture, temperature, humidity. For stopping the losses with inside the yield and the amount of the rural product, type is performed, if right evaluation isn't taken on this method of type, then it produces extreme results on flowers and because of which respective product best or productiveness is affected. Crops are without problems and necessarily broken through pest, in order to substantially have an effect on the best and amount of the rural merchandise. Detecting and spotting the pests quick and efficaciously is the precondition of crop pest control. The conventional approach of pest popularity specially relies upon at the guide manner that calls for an professional human eye to discover the pest. This brings a few issues consisting of low actual time overall performance and efficiency, exertions intensity, etc. To gain automated popularity of agricultural pests, we evolved a pest popularity gadget primarily based totally on photo processing method. The photo segmentation method is used to discover the presence of pests in leaf images.

Keywords


Finishing Activities, Productivity, Quality Control, Safety Measures

References