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Classification model for chlorophyll content using CNN and aerial images
Chlorophyll content is usually used as a quantitative measurement of plant health. The
chlorophyll content is also a continuous number of data type, leading to a regression …
chlorophyll content is also a continuous number of data type, leading to a regression …
Comparison of machine learning models for predicting groundwater level, case study: Najafabad region
Water resources, consisting of surface water and groundwater, are considered to be among
the crucial natural resources in most arid and semiarid regions. Groundwater resources as …
the crucial natural resources in most arid and semiarid regions. Groundwater resources as …
Leaf Chlorophyll Concentration Estimation Using Absorption Spectroscopy of AVIRIS-NG for a Mangrove Forest in India
Chlorophyll concentration is one of the important biochemical properties of vegetation as it
relates to photosynthetic activity and health. The amount of chlorophyll in a vegetation …
relates to photosynthetic activity and health. The amount of chlorophyll in a vegetation …
Image processing and mechanical design for an automated Persian gum-sorting machine
F Hosseinpour, M Dehghani… - 2023 11th RSI …, 2023 - ieeexplore.ieee.org
Persian gum is a native Iranian hydrocolloid obtained from the trunks and branches of the
mountain almond tree. Tannin, as an anti-nutritional compound, is one of the components of …
mountain almond tree. Tannin, as an anti-nutritional compound, is one of the components of …
Fractal-Based Spatiotemporal Predictive Model for Car Crash Risk Assessment
B Zakeri, P Adineh - International Conference on Artificial Intelligence and …, 2023 - Springer
Car collisions are a noteworthy public safety concern, with a significant number of fatalities
and injuries worldwide each year. In this study, we developed a spatiotemporal prediction …
and injuries worldwide each year. In this study, we developed a spatiotemporal prediction …
[PDF][PDF] Development of an Electronic Photo Sensor for Chlorophyll Detection
The amount of chlorophyll in plant leaves can be measured using time-consuming and
challenging traditional chemical procedures; alternatively, highly expensive sensor-based …
challenging traditional chemical procedures; alternatively, highly expensive sensor-based …
A Deep Learning Based Bio Fertilizer Recommendation Model Based on Chlorophyll Content for Paddy Leaves
Rice is the main agricultural product in India, with 90% of the population consuming it as a
staple food. Nutrient deficiencies in rice leaves during growth period causes imbalances …
staple food. Nutrient deficiencies in rice leaves during growth period causes imbalances …
Performance Analysis of Arduino-Based Chlorophyll Measurement System
H Kale - Recent Evolutions in Energy, Drives and E-Vehicles, 2022 - Springer
The measurement of plant leaf chlorophyll content is meant to assess plant health, fertilizer
requirements, and harvest optimization. The botanical processes for chlorophyll …
requirements, and harvest optimization. The botanical processes for chlorophyll …
[PDF][PDF] Design of Spectral Absorbance-Based Electronic Reader for Chlorophyll Measurement
Sensor-based Soil Plant Analysis Development (SPAD) meters are costly, and traditional
chemical methods are complex and time-consuming for measuring the amount of …
chemical methods are complex and time-consuming for measuring the amount of …