Titlebook: Smart Agriculture Automation Using Advanced Technologies; Data Analytics and M Amitava Choudhury,Arindam Biswas,Santanu Kumar Gho Book 2021

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Smart Dairy Farming Overview: Innovation, Algorithms and Challenges,fficiency of the dairy process. At the product level, the innovative systems strive to increase milk production by deploying robotic milking systems that milk the cow, analyse the milk, process the milk and preserve it. At the process level, the systems are concerned with the health and welfare of t

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Precision Farming in Modern Agriculture, play a vital role in our modern day-to-day applications. The advantages and advancements of AI and IoT are applied in modern agriculture. This makes modern agriculture more precise and profitable. Some of the contemporary applications using AI and IoT in smart precision farming are discussed. In ad

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ML-Based Smart Farming Using LSTM,er to meet the world‘s food demand. We have?proposed?a system for increasing crop yields that includes a tracking model that uses Wireless Sensor Networks (WSN) and cloud computing to manage parameters and gather information about the field‘s soil using temperature sensors, moisture sensors, air hum

厚顏無恥

IoT Doordarshi: Smart Weather Monitoring System Using Sense Hat for Improving the Quality of Crops,e notification (using Pushover IFTTT service) that can be further used for analysis. Cloud service, ThingSpeak, is used for storing and plotting the data. Weather detection system using IoT has been experimentally established to work satisfactorily by connecting the different modules of IoT into a s

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Application of IoT-Enabled 5G Network in the Agricultural Sector,s of 5G communication over the commonly used networks. The appropriateness of 5G networks in the farming sector, requirement of high-speed communication system and application of 5G; advantages of 5G; implementations of 5G in smart farming like live tracking, remote guidance, threat detection, stati

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,An Economical Helping Hand for Farmers—Agricultural Drone,llers to produce required thrust (at 100% RPM) and suitable lithium–polymer (LI-PO) battery of current capacity 2500 mAh and 12?V to meet necessary current and voltage requirements. For monitoring the spraying process, a First-Person View (FPV) camera and transmitter are fixed in the drone and also

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On Securing Smart Agriculture Systems: A Data Aggregation Security Perspective,mote unstable environments. In this chapter, we aim to conduct a study on how to secure the smart agricultural systems by initially making a systematic risk assessment on the system. Based on the vulnerabilities and risk studied, we propose a light weight Arduino-based smart agriculture model. This

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