Improving climate monitoring in greenhouse cultivation via model based filtering
نویسندگان
چکیده
منابع مشابه
Model Based Humidity Control of Botrytis in Greenhouse Cultivation
Botrytis cinerea is one of the most common plant pathogenic fungi that affects a wide range of greenhouse horticultural products and decreases their market value. B. cinerea can strongly decrease yield and post-harvest quality through latent infections. It is a highly water dependent fungus and a certain leaf wetness duration seems necessary for spore germination. However, during germination be...
متن کاملImproving K-nearest-neighborhood based Collaborative Filtering via Similarity Support
Collaborative Filtering (CF) is the most popular choice when implementing personalized recommender systems. A classical approach to CF is based on K-nearest-neighborhood (KNN) model, where the precondition for making recommendations is the KNN construction for involved entities. However, when building KNN sets, there exits the dilemma to decide the value of K --a small value will lead to poor r...
متن کاملWireless Sensor Network Monitoring for Greenhouse Climate Control
Greenhouses are often used for growing flowers, vegetables, fruits, and tobacco plants. Most greenhouse systems still use the manual system in monitoring the temperature and humidity in the greenhouse, a lot of problems can occur not for worker but also affected production rate because the temperature and humidity of the greenhouse must be constantly monitored to ensure optimal conditions. The ...
متن کاملImproving information filtering via network manipulation
Recommender system is a very promising way to address the problem of overabundant information for online users. Though the information filtering for the online commercial systems received much attention recently, almost all of the previous works are dedicated to design new algorithms and consider the user-item bipartite networks as given and constant information. However, many problems for reco...
متن کاملModel-Based Motion Filtering for Improving Arm Gesture Recognition Performance
We describe a model-based motion filtering process that when applied to human arm motion data leads to improved arm gesture recognition. By arm gestures, we mean movements of the arm (and positional placement of the hand) that may or may not have any meaningful intent. Arm movements or gestures can be viewed as responses to muscle actuations that are guided by responses of the nervous system. O...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Biosystems Engineering
سال: 2019
ISSN: 1537-5110
DOI: 10.1016/j.biosystemseng.2019.03.001