Advanced Agriculture Technology using Blockchain
Agriculture based automation with recommendation system Based on AI-Models and Plant Disease Prediction Using Image Processing With BlockChain Development
Created on 9th May 2023
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Advanced Agriculture Technology using Blockchain
Agriculture based automation with recommendation system Based on AI-Models and Plant Disease Prediction Using Image Processing With BlockChain Development
The problem Advanced Agriculture Technology using Blockchain solves
Agriculture occupies an essential position in the world's economy. But now farmers face big issues because of a lack of information about the weather, diseases caused by their plants, climate change. They don’t know what kind of crop they have to use for that climate. For that, we have come up with a solution. We created a weather monitoring application and a classification model that provide answers for plant diseases and crop fertilizer recommendations. We also have a crop monitor which is going to monitor the crop during growing state and identification of Plant Leaves disease Caused and the accuracy of the affected areas.
Challenges I ran into
The Main Objective of this project presents Agriculture based automation with recommendation System based on AI Models and disease detection using image processing techniques for automated vision system used at agricultural field. In agriculture research of automatic plant disease detection is essential one in monitoring large fields of crops, and thus automatically detects symptoms of disease as soon as they appear on plant leaves. The Software Works by a automatic classifier CNN will be used for classification based on learning with some training samples of that two category. Finally, the simulated result shows that used network classifier provides minimum error during training and better accuracy in classification. So that Prediction level of affected areas accurate Properly.Even I worked more time for the implementation of My machine Learning Model to Get More Accuracy and It hols more no of data so it shows best Crop for the Particular Region.It also has twilo api in which it also alert the dripirragation System for the Overflow of System in which it has accuracy in the Overflow of water in the Field.CHALLENGES : 1, PLANT DISEASE USING IMAGE PROCESSING 2, MAP VISUALIZATION USING MACHINE LEARNING AND NODE.JS FOR THE GOOD ACCURACY IN THE PARTICULAR REGION 3,DRIP IRRIGATION WATER OVERFLOW ALERT USING TWILO API 4,AGRICULTURE FARM TECHNOLOGY TO SELL PRODUCTS USING THE BLOCKCHAIN DEVELOPMENT 5,WEB APPLICATION INTEGRATED WITH ALL THESE COMPONENTS TO USE EASILY WITHOUT ANY INTERUPTION.