Abstract

Agriculture sector being the foundation of the Indian economy merits security. Security not only for assets just but rather additionally farming items needs security and assurance at extremely starting stage, like protection from attacks of rodents or creepy crawlies, in fields or grain stores. Security frameworks which are being utilized now a day are not sufficiently shrewd to give constant warning in the wake of detecting the issue. Keeping this situation in our mind we have planned, tried and investigated a 'Internet of Things' based gadget which can examine the detected data and after that transmitting it to the client. This gadget can be controlled and checked from remote area and it can be executed in agricultural fields, grain stores and cold stores for security reason. This complements the techniques to take care of such issues like recognizable proof of rodents, dangers to crops and conveying ongoing notice in view of data examination and preparing without human mediation. This project introduces an observing and control framework for greenhouse through Internet of Things(IOT). The framework will screen the different ecological conditions, for example, humidity, soil moisture, temperature etc. If any condition crosses certain limits, a message will be sent to the enlisted number through GSM module. The outcome of this project is Scientists have been creating different IoT based security gadgets yet a little work is done in agriculture zone. As indicated by past research in crop’s security, developing nations, which are utilizing customary storerooms for food crops, can't secure them, prompting 20-30% loss of products, for example, rice, corn etc. As of now accessible arrangements targets just creepy crawlies, pests and grain pathogens. While other review states 5 to 10% loss in rice crops, in Asia is because of harm brought on by rodents. These rat effects are additionally connected with the crippling rat borne diseases. As in Asian and Pacific nations death rate because of rat borne maladies is higher in correlation with some disease, for example, HIV-AIDS. The work is executed for remote checking and control of greenhouse parameters with the assistance of sensors and GSM. The model was tried under different conditions and the experimental results were found as expected.