Revealing channel controlled nutrient release mechanism of bio-oil polymer coated controlled-release fertilizer

2021 ◽  
Vol 173 ◽  
pp. 114096
Author(s):  
Bochao Wei ◽  
Jiaquan Jiang ◽  
Chengxiang Gao ◽  
Lidan Zhang ◽  
Yaowei Zhan ◽  
...  
Keyword(s):  
Controlled Release ◽  
Nutrient Release ◽  
Release Mechanism ◽  
Controlled Release Fertilizer ◽  
Bio Oil

scholarly journals Analytical solution of diffusion model for nutrient release from controlled release fertilizer

2017 ◽  
Vol 890 ◽  
pp. 012078
Author(s):  
Sayed Ameenuddin Irfan ◽  
Radzuan Razali ◽  
KuZilati KuShaari ◽  
Nurlidia Mansor ◽  
Babar Azeem
Keyword(s):  
Controlled Release ◽  
Analytical Solution ◽  
Diffusion Model ◽  
Nutrient Release ◽  
Controlled Release Fertilizer

scholarly journals Hydroponic Fertilizer Supply for Basil Using Controlled-release Fertilizer

HortScience ◽  
2020 ◽  
Vol 55 (10) ◽  
pp. 1683-1691
Author(s):  
Fernanda Trientini ◽  
Paul R. Fisher
Keyword(s):  
Controlled Release ◽  
Nutrient Release ◽  
Nutrient Content ◽  
Water Soluble ◽  
Plant Performance ◽  
Small Scale ◽  
Single Application ◽  
Fresh Weight ◽  
Controlled Release Fertilizer ◽  
Shoot Fresh Weight

Small-scale hydroponics is a growing urban horticulture trend, but nutrient solution management remains a challenge for small growers. The objective was to investigate the potential to use controlled-release fertilizer (CRF) to simplify nutrient management in small-scale hydroponic systems. Three experiments were conducted with the goal of a single fertilizer application during the crop cycle of basil (Ocimum basilicum). Nutrient release curves were quantified by adding prills to water and measuring nutrient content weekly in the solution for CRF products without plants. In all seven products tested (Osmocote Bloom 2–3M, Osmocote Plus 3–4M, E-Max Calcium Nitrate 2–3M, Agrocote MAP 3–4M, E-Max Keiserite 3–4M, E-Max K-Mag 2–3M, and Agrocote SOP 3–4M) an initial rapid release was followed by a plateau, but release rates differed between products varying from 100% (MgSO4) to 60% release [(NH4).(H2PO4)] over an 11-week evaluation period. Total nutrient content in two commercial N–P–K CRF products (3–4 months 15N–3P–10K and 2–3 months 12N–3.1P–14.9K) provided lower Ca and Mg compared with a typical hydroponic solution based on water-soluble fertilizer (WSF). A subsequent experiment evaluated plant growth response using the same two commercial CRF products (single application) or a WSF (replaced weekly) in growth chamber environment. Plants grown for 4 weeks under CRF treatments yielded less than half the shoot fresh weight of plants grown with WSF and exhibited symptoms of Ca deficiency and micronutrient toxicity (confirmed with tissue analysis). Electrical conductivity (EC) of CRF solutions increased over time indicating excess dose compared with plant uptake, reaching a maximum of 5.4 dS·m−1. Nutrient release curves from the first experiment were then used to estimate product release and create a single-application nutritional program based on a customized “Blend” developed from CRF macronutrients plus WSF micronutrients. Plants were grown hydroponically with two dosages of Blend (1X and 2X) and compared with a commercial WSF with weekly replacement of solution. Blend 2X and WSF treatments had similar shoot fresh weight (241 and 244 g/four plants, respectively) with healthy plant appearance and tissue nutrient levels generally within published survey ranges for basil. Commercial CRF products designed for soil or container production were unsuitable for hydroponics, but acceptable plant performance with the customized CRF Blend demonstrated proof-of-concept for a single CRF application.

scholarly journals Machine Learning Model for Nutrient Release from Biopolymers Coated Controlled-Release Fertilizer

Agriculture ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 538
Author(s):  
Sayed Ameenuddin Irfan ◽  
Babar Azeem ◽  
Kashif Irshad ◽  
Salem Algarni ◽  
KuZilati KuShaari ◽  
...  
Keyword(s):  
Machine Learning ◽  
Controlled Release ◽  
Surface Hardness ◽  
Nutrient Release ◽  
Learning Model ◽  
Mechanistic Modeling ◽  
Release Time ◽  
Controlled Release Fertilizer ◽  
Machine Learning Model ◽  
Controlled Release Fertilizers

Recent developments in the controlled-release fertilizer (CRF) have led to the new modern agriculture industry, also known as precision farming. Biopolymers as encapsulating agents for the production of controlled-release fertilizers have helped to overcome many challenging problems such as nutrients’ leaching, soil degradation, soil debris, and hefty production cost. Mechanistic modeling of biopolymers coated CRF makes it challenging due to the complicated phenomenon of biodegradation. In this study, a machine learning model is developed utilizing Gaussian process regression to predict the nutrient release time from biopolymer coated CRF with the input parameters consisting of diffusion coefficient, coefficient of-variance of coating thickness, coating mass thickness, coefficient of variance of size distribution and surface hardness from biopolymer coated controlled-release fertilizer. The developed model has shown greater prediction capabilities measured with R2 equalling 1 and a Root Mean Square Error (RMSE) equalling 0.003. The developed model can be utilized to study the nutrient release profile of different biopolymers’-coated controlled-release fertilizers.

scholarly journals Reaction-Multi Diffusion Model for Nutrient Release and Autocatalytic Degradation of PLA-Coated Controlled-Release Fertilizer

Polymers ◽  
2017 ◽  
Vol 9 (12) ◽  
pp. 111 ◽  
Author(s):  
Sayed Irfan ◽  
Radzuan Razali ◽  
KuZilati KuShaari ◽  
Nurlidia Mansor
Keyword(s):  
Controlled Release ◽  
Diffusion Model ◽  
Nutrient Release ◽  
Controlled Release Fertilizer

scholarly journals Testing the Assumption of Normality for pH and Electrical Conductivity of Substrate Extract Obtained Using the Pour-through Method

HortScience ◽  
2007 ◽  
Vol 42 (3) ◽  
pp. 661-669 ◽  
Author(s):  
Eugene K. Blythe ◽  
Donald J. Merhaut
Keyword(s):  
Electrical Conductivity ◽  
Controlled Release ◽  
Goodness Of Fit ◽  
Linear Models ◽  
Empirical Distribution ◽  
Linear Regression Analysis ◽  
Nutrient Release ◽  
Plant Production ◽  
Controlled Release Fertilizer ◽  
Special Cases

The pour-through method is a simple and useful technique for on-site monitoring of pH and electrical conductivity (EC) in container nurseries, and has also been used in numerous research studies focused on substrates, plant nutrition, and plant production. Linear models, including the special cases of analysis of variance and linear regression analysis, are often used for statistical analysis of extract data and are readily available as procedures in statistical software packages. Certain assumptions, including normality of the data values or model residuals, are required to develop valid statistical inferences using linear models. This study evaluated the normality of pH and EC variables using data obtained from 100 extract samples collected weekly over 12 weeks using the pour-through method from a uniform containerized substrate (25 pine bark : 18 peatmoss : 7 sand blend amended with calcium sulfate and top-dressed with Polyon 17N–2.1P–9.1K + micros, a 365-day controlled-release fertilizer, at 10 g/container) in 2.8-L containers. Graphical techniques (histograms and QQ plots) and formal goodness-of-fit tests (tests based on the empirical distribution function, moment tests, and the Shapiro-Wilk regression test) were used to demonstrate methods for assessing normality. The variables pH and EC both exhibited relatively normal distributions. For comparative purposes, the transformed variables ln(pH), 10–pH, and ln(EC) were also evaluated. The latter two variables exhibited significant departures from normality, whereas ln(pH) did not. Average weekly EC exhibited positive correlations with time-lagged, average weekly substrate temperature, suggesting that nutrient release from the controlled-release fertilizer could be more dependent on temperature in the second to fourth weeks preceding extraction than on temperature in the week immediately preceding extraction.

scholarly journals Nutrients Release from a Novel Gel-Based Slow/Controlled Release Fertilizer

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
H. Ding ◽  
Y. S. Zhang ◽  
W. H. Li ◽  
X. Z. Zheng ◽  
M. K. Wang ◽  
...  
Keyword(s):  
Controlled Release ◽  
Soil Water ◽  
Soil Column ◽  
Nutrient Release ◽  
Weak Acid ◽  
Npk Fertilizers ◽  
Controlled Release Fertilizer ◽  
Nutrient Contents ◽  
Inorganic Mineral ◽  
Incubation Method

A novel gel-based slow/controlled release fertilizer (G-CRF) was developed, which was produced by combining various natural, seminatural, and/or synthetic organic macromolecule materials and natural inorganic mineral with conventional NPK fertilizers. Its nutrient release characteristics were studied to compare with conventional fertilizers through the soil column leaching method. The influences of soil factors, including temperature, pH, water, and nutrient contents in the G-CRF on nutrient release, were also investigated through soil-water incubation method. These results indicated that the G-CRF had better effect on controlling release of N, P, and K nutrients, and the effect was more efficient when soil-water content was lower than 45% (w/w), temperature was below 35°C, and soil pH was in the range from weak acid to neutral. In addition, considering the effect of controlling nutrient release and cost of the materials in the G-CRF, it is recommended that the most feasible NPK nutrient contents in the G-CRF ranged from 30 to 35%.

scholarly journals Controlled Release Fertilizers: A Review on Coating Materials and Mechanism of Release

Plants ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 238
Author(s):  
Dora Lawrencia ◽  
See Kiat Wong ◽  
Darren Yi Sern Low ◽  
Bey Hing Goh ◽  
Joo Kheng Goh ◽  
...  
Keyword(s):  
Controlled Release ◽  
Nutrient Use Efficiency ◽  
Nutrient Release ◽  
Economic Benefits ◽  
Nitrogen Fertilizers ◽  
Release Mechanism ◽  
World Population ◽  
Natural Polymers ◽  
Widespread Application ◽  
Controlled Release Fertilizers

Rising world population is expected to increase the demand for nitrogen fertilizers to improve crop yield and ensure food security. With existing challenges on low nutrient use efficiency (NUE) of urea and its environmental concerns, controlled release fertilizers (CRFs) have become a potential solution by formulating them to synchronize nutrient release according to the requirement of plants. However, the most significant challenge that persists is the “tailing” effect, which reduces the economic benefits in terms of maximum fertilizer utilization. High materials cost is also a significant obstacle restraining the widespread application of CRF in agriculture. The first part of this review covers issues related to the application of conventional fertilizer and CRFs in general. In the subsequent sections, different raw materials utilized to form CRFs, focusing on inorganic and organic materials and synthetic and natural polymers alongside their physical and chemical preparation methods, are compared. Important factors affecting rate of release, mechanism of release and mathematical modelling approaches to predict nutrient release are also discussed. This review aims to provide a better overview of the developments regarding CRFs in the past ten years, and trends are identified and analyzed to provide an insight for future works in the field of agriculture.

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