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Limitation Due to Nutritional Deficiency and Excess in Sugarcane Using the Integral Diagnosis and Recommendation System (DRIS) and Nutritional Composition Diagnosis (CND)

Communications in Soil Science and Plant Analysis, 2021
The phenological growth cycles of sugarcane culture causes variations in the nutritional requirement. Due to these variations, leaf diagnosis can avoid limitations due to deficiency and excess of nutrients most demanded by sugarcane culture.
Gilmara Pereira da Silva
exaly   +2 more sources

Onsite nutritional diagnosis of tea plants using micro near-infrared spectrometer coupled with chemometrics

Computers and Electronics in Agriculture, 2020
A rapid and accurate diagnosis of nutritional status in field crops is crucial for site-specific fertilizer management. The micro near-infrared spectrometer (Micro-NIRS) is an extremely portable optical device that can be connected to a smartphone ...
Yujie Wang   +6 more
semanticscholar   +1 more source

DRIS and geostatistics indices for nutritional diagnosis and enhanced yield of fertirrigated acai palm

, 2020
Information about Açaí palm (Euterpe oleracea Mart.) nutrition, that gives support for yield increase is sparse. The aim of this study was to assess the nutritional status of fertigated Açaí palm by the Index called Diagnosis and Recommendation ...
Felipe Oliveira Ribeiro   +6 more
semanticscholar   +1 more source

Nutritional standards and nutritional diagnosis of the Conilon coffee plants in phenological growth stages

Journal of plant nutrition, 2018
The objective of this study was to establish a nutrient sufficiency range and DRIS standards of Conilon coffee grown in southern Bahia, Brazil for the pre-flowering and grain-filling stages and to perform a nutritional diagnosis of these plants using ...
F. Partelli   +5 more
semanticscholar   +1 more source

Comparison of nutritional screening and diagnostic tools in diagnosis of severe malnutrition in critically ill patients.

Clinical Nutrition, 2020
RATIONALE While various nutritional assessment tools have been proposed, consensus is lacking with respect to the most effective tool to identify severe malnutrition in critically ill patients.
S. Rattanachaiwong   +5 more
semanticscholar   +1 more source

Diagnosis of Sulphur Nutrition

1998
With decreasing atmospheric inputs (Daemmgen et al., 1997) and changes in fertiliser practices towards low or no sulphur (S) containing sources for nitrogen (N) and phosphorous (P) (Ceccotti et al., 1997), S has become a major limiting factor for plant production in industrialised as well as remote rural areas.
Ewald Schnug, Silvia Haneklaus
openaire   +1 more source

Constructing a nutrition diagnosis expert system

Expert Systems with Applications, 2012
This paper presents a research of constructing a web-based expert system for nutrition diagnosis by utilizing the expert system techniques in artificial intelligence. The research implements Nutritional Care Process and Model (NCPM) defined by American Dietetic Association (ADA) in 2008 and integrate the nutrition diagnosis knowledge from dietetics ...
Yuchuan Chen   +3 more
openaire   +2 more sources

Nutritional risk and malnutrition rates at diagnosis of cancer in patients treated in outpatient settings: Early intervention protocol.

Nutrition (Burbank, Los Angeles County, Calif.), 2019
OBJECTIVES Malnutrition is frequent in patients with cancer and is associated with a higher rate of morbidity and mortality. However, a significant number of patients at nutritional risk remain undetected due to the lack of a routine screening procedure ...
Elena Álvaro Sanz   +5 more
semanticscholar   +1 more source

Clinical and Laboratory Diagnosis of Nutritional Problems

Dental Clinics of North America, 1976
The objective of this article is to familiarize the dentist with clinical signs and laboratory methods used in diagnosing nutritional deficiencies, and to indicate which laboratory methods may be useful to the clinician in cases of suspected nutritional deficiency.
openaire   +2 more sources

A Fuzzy Logical Model of Nutrition Diagnosis

1991
A computer model for nutrition diagnosis was developed. The diagnosis is made with the help of a fuzzy logical model on the basis of biochemical, anthropometric and immunological parameters to obtain more differentiated results than before. Variations of the model were suggested and discussed.
openaire   +2 more sources

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