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Bioresource and Agricultural Engineering Commons

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Full-Text Articles in Bioresource and Agricultural Engineering

Development Of Predictive Equations For Thermal Conductivity Of Compost Bedding, Flávio A. Damasceno, Joseph L. Taraba, George B. Day V, Randi A. Black, Jeffrey M. Bewley, Tales J. Fernandes, Carlos E. A. Oliveira, Rafaella R. Andrade, Matteo Barbari, Patrícia F. P. Ferraz, Lorenzo Leso Sep 2021

Development Of Predictive Equations For Thermal Conductivity Of Compost Bedding, Flávio A. Damasceno, Joseph L. Taraba, George B. Day V, Randi A. Black, Jeffrey M. Bewley, Tales J. Fernandes, Carlos E. A. Oliveira, Rafaella R. Andrade, Matteo Barbari, Patrícia F. P. Ferraz, Lorenzo Leso

Biosystems and Agricultural Engineering Faculty Publications

Among animal facilities, compost-bedded pack (CBP) barns have attracted a lot of attention from milk producers and the scientific community. Systematic investigation of the main thermal properties utilizing sawdust in CBP barns is of environmental and economic relevance. In this paper, the aim was to (a) develop predictive equations for the thermal conductivity (k) of compost bedding as a function of moisture content (MC), the degree of compaction (DCo), and particle size (PS); and (b) investigate the links between k and depth within bedding material. Samples of compost bedding materials were collected from 42 commercial CBP …


Bibliometric Analysis Of Plant Disease Prediction Using Climatic Condition, Shivali Amit Wagle, Harikrishnan R Jan 2021

Bibliometric Analysis Of Plant Disease Prediction Using Climatic Condition, Shivali Amit Wagle, Harikrishnan R

Library Philosophy and Practice (e-journal)

The changes in the climatic conditions are having beneficial as well as harmful effects on crop yields depending on the drastic changes. There can be a yield loss due to the occurrence of disease in crops. Apart from severe yield losses, infected yield can be harmful and threatening to living being’s health as that is the source of food. This also affects the economy of the agricultural depended country. Disease prediction tools advance in the management of exertions for diseases in plants. Machine learning techniques help in elucidating complex associations between hosts and pathogens without invoking difficult-to-satisfy expectations. For the …