Smart Irrigation and Crop Protection using Deep Learning

Journal: GRENZE International Journal of Engineering and Technology
Authors: Prathibha P, Monika S R, Preetha T, Rejina Parvin J
Volume: 10 Issue: 2
Grenze ID: 01.GIJET.10.2.196_1 Pages: 4013-4019

Abstract

Farmers in India are threatened by animal damage, which results in lower yields. It is critical to safeguard crops against animal damage. To overcome the fore mentioned issues and achieve our goal, machines are used. The entry of the animals is detected using the deep learning model, and an alert is notified to the farmer. Depending on the requirements, the automatic irrigation system feeds or drains water. Water would be sprayed automatically in the event of a fire disaster. Smart irrigation and crop protection makes the protection in the agricultural field where it protects from various crop diseases and makes the crop from the protection to the disease. The crop in the field system makes the use of deep learning algorithms which makes the process of protection and detection. The crop protection process involves the operation with the system which detects ad prevents from the operation of the system from the crops where it makes the use of various operation. The smart irrigation process involves the operation of the system with the various operation where it makes the detection of the system with the deep learning algorithms and makes the detection technique in the system. The crop in the fields are affected with the various operation methods which makes the operation in the system with the use of Arduino with ESP8266 WiFi module. The various sensors used in the system makes the sensing unit in the external environment which makes the use of motor driver which controls the crop water irrigation control in the system. The motor is controlled with the relay unit where it is connected to the sprayer which sprays the water in the field evenly to the crops.

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