Titlebook: Internet of Things and Analytics for Agriculture, Volume 3; Prasant Kumar Pattnaik,Raghvendra Kumar,Souvik Pal Book 2022 The Editor(s) (if

CLAP

Machine Learning Approaches for Agro IoT Systems,fficient and time consumable because of more labor cost and high energy consumption. Hence, forefront technology like the Internet of Things (IoT) would be an affordable and more precise solution for the betterment in agriculture. By deploying intelligent systems, agricultural process can be automat

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AI-Based Yield Prediction and Smart Irrigation,oil mineral contents, soil pH level, salinity level, climatic conditions, moisture of the soil, etc. These parameters must meet the optimum level to make a desirable environment to sustain productivity. Failure to provide the required condition from any of the parameters will lead the plant to stres

搬運工

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IoT Based Agricultural Business Model for Estimating Crop Health Management to Reduce Farmer Distreowing crops and providing agricultural platform. Though agriculture is one of the most prime fields to engage the workforce still, it lacks adequate technological support for improvement of the crop quality and build a healthy nation. The major concern related to agriculture and economy to any count

NUDGE

Rice and Potato Yield Prediction Using Artificial Intelligence Techniques,p yield is challenging because of the complexity of the relationships between crop growth and the interrelated predictor variables. This research work employed artificial intelligence (AI) technique for rice and potato crop yield prediction model in the region of Tarakeswar block, Hooghly District,

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The Impact of Irrigation on Generation of Marketable Surplus in the Bolpur Subdivision, West Bengalubmersible pump, tank and river lift irrigation. After consumption and keeping seed, farmers sold their excess production to the market. Big farmers store their production long time for high value, but marginal and small farmers sold their production after harvesting because they pay the money their

隼鷹

A Farmer-Friendly Connected IoT Platform for Predicting Crop Suitability Based on Farmland Assessmetal role in establishing the country’s economic growth. Crop cultivation also depends a lot on environmental factors and the fertility elements of the soil. Due to the changing weather conditions, a seasonal change transpires in the environment and the soil elements. Because of these seasonal change

繼承人

Smart Farming with IoT: A Case Study,ructure, poor storage, inadequate access to the market, and timely delivery. The digital transformation is required to change traditional farming to a smart agriculture system using IoT. There are different areas in which IoT can be applied in the agricultural field such as to know the weather condi

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Blockchain Solutions for Agro-Food Chain Systems,eholders on this chain trust each other and that the food data can be monitored smoothly and securely. Due to food scandals and epidemics frequently encountered in recent years, people’s demand for safe and traceable food increases. Despite the continuing trend of digitalization of the economy, suff