The document discusses soil analysis and nutrient recommendations for growing coffee. It recommends levels of nutrients like phosphorus, potassium, calcium and magnesium in the soil. Lime is often used to correct acidic soils, with 250-500g applied per meter. Coffee grounds and pulp make good fertilizers as they contain nutrients like nitrogen, phosphorus, potassium and micronutrients. Mineral deficiencies in the soil can be detected by examining the leaves of coffee plants.
Nutrient recycling through agricultural and industrial wastes:potential and l...Pravash Chandra Moharana
Due to intensive agriculture, the soil resource is under increasing stress as there is a big gap between annual output of nutrients from soil due to crop removals and the nutrient inputs from external resources. So, filling this gap we go for nutrient recycling of non conventional resources i.e. agricultural and industrial wastes. On basis crop production, India generate about 312.5 Mt of crop residues, such as straw of cereals, oilseeds etc can supply about 1.13, 1.41 and 3.54 Mt of NPK. It has been estimated that all animal excreta can potentially supply 17.77 Mt of plant nutrients and 150 Mt of municipal wastes generated annually in India that have nutrient potential of about 1.72 Mt of NPK. At present India produces about 8.0 Mt of poultry manure which is sufficient to fertilizer about 3.56 Mha of land annually. These wastes are composted along with addition low grade rock phosphate and waste mica improve the quality of compost. A huge amount of effluents generated from tanning, textile, distillery and paper mill industries which contain several major primary and secondary plant nutrients (N, P, K, S, Mg, Ca, etc.) as well as micronutrients and heavy metals. Application of pressmud cake, FYM and poultry litter increase soil available nutrients and long term irrigation with paper mill effluent causes soil salinity and heavy metal accumulation. Industrial byproducts like phosphogypsum, basic slag etc used as soil ameliorant.
Nutrient recycling through agricultural and industrial wastes:potential and l...Pravash Chandra Moharana
Due to intensive agriculture, the soil resource is under increasing stress as there is a big gap between annual output of nutrients from soil due to crop removals and the nutrient inputs from external resources. So, filling this gap we go for nutrient recycling of non conventional resources i.e. agricultural and industrial wastes. On basis crop production, India generate about 312.5 Mt of crop residues, such as straw of cereals, oilseeds etc can supply about 1.13, 1.41 and 3.54 Mt of NPK. It has been estimated that all animal excreta can potentially supply 17.77 Mt of plant nutrients and 150 Mt of municipal wastes generated annually in India that have nutrient potential of about 1.72 Mt of NPK. At present India produces about 8.0 Mt of poultry manure which is sufficient to fertilizer about 3.56 Mha of land annually. These wastes are composted along with addition low grade rock phosphate and waste mica improve the quality of compost. A huge amount of effluents generated from tanning, textile, distillery and paper mill industries which contain several major primary and secondary plant nutrients (N, P, K, S, Mg, Ca, etc.) as well as micronutrients and heavy metals. Application of pressmud cake, FYM and poultry litter increase soil available nutrients and long term irrigation with paper mill effluent causes soil salinity and heavy metal accumulation. Industrial byproducts like phosphogypsum, basic slag etc used as soil ameliorant.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
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Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
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1. Soil Analysis Examples and Coffee Nutrients
Soil Analysis Examples and Coffee Nutrients
When buying soil for growing coffee, the
following values are recommended for coffee
soil (Malavolta, 201):
P (resin) - 15-30 µg/cm3.
P (Mehlich 1): 10-20 ppm
SO4-S: 10-15 µg/cm3.
K% CEC (pH 7.0): 10-15%
Ca% CEC (pH 7.0): 40-60%
Mg% CEC (pH 7.0): 10-15%
V%: 60-70%
CEC (pH 7.0): 7-10 meq/100 cm3.
B (hot water): 0.4-0.5 ppm.
B (0.05 N HCl): 1.0-1.2 ppm.
Cu (Mehlich 1): 2-3 ppm.
Zn (Mehlich 1): 4-7.
Analysis of Soil: Correcting Problems
Lime is often used to help correct acidic soils to a pH between 4.5-5.5 in the first 20 cm of soil. When
planting coffee, the holes should be covered with 250-500 g of limestone per meter (Mavolta, 199).
Production increases of up to 500% have been observed by adding limestone. In Brazil the highest
producing plantations had a pH from 6.0-6.5, a cation exchange capacity of 40-50%, and the base
saturation in the upper 20 cm was 60% (Malavolta, 198). The requirement for lime can be calculated
as follows:
Lime needed = (T(V1-V2)/RPTN)p where
T - meq/100 cm3 of exchangeable H+Al+K+Ca+Mg
V1=S/T*100
RPTN=Relative Power of Total Nutrition. The average is 75%.
p=factor of compensation for depth:
= 0.5 for 0-10 cm.
= 1.0 for 0-20 cm.
=1.5 for 0-30 cm.
(From Malavolta, 198).
To correct problems with acidity below 20 cm deep phosphogypsum is often applied. Mavolta suggest
that phosphogypsum should be applied when aluminum saturation is higher than 20% or the
participation of Ca in the effective CEC is lower than 40% (Malavolta, 200).
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2. Soil Analysis Examples and Coffee Nutrients
Coffee Fertilizer
Since the coffee hullls and pulp are rich in nutrients, many people often use coffee grounds as
fertilizer. One 60 kg bag of coffee contains 1,026 g of nitrogen, 60 g of phosphorous, 918 g of
potassium, 162 g of calcium, 90 g of magnesium, 72 g of sulfur, 0.96 g of boron, 0.80 g of copper, 3.6
g of iron, 1.2 g of manganese, 0.002 g of molybdenum, and 0.72 g of zinc (Malavolta, 197). The pulp
resulting from processing contains 1,068 g of nitrogen, 84 g of phosphorous, 2,250 g of potassium, 246
g of calcium, 78 g of magnesium, 90 g of sulfur, 2.04 g of boron, 1.08 g of copper, 9.0 g of iron, 1.80 g
of Manganese, 0.004 g of Molybdenum, and 4.20 g of Zinc (Malavolta 197).
Mineral deficiencies in mineral content can usually be detected visually from looking at the coffee
bean leaves. See Coffee Bean Leaf Analysis for more information on laboratory tests available
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