Javascript must be enabled to continue!
A Bio-inspired and Deep Learning Based Hybrid Model for Agricultural Drought Assessment
View through CrossRef
Agricultural droughts can cause many serious hazards. Drought monitoring indices, namely Normalized Difference Vegetation Index (NDVI), Atmospherically Resistant Vegetation Index (ARVI), Soil Adjusted Vegetation Index (SAVI), and Enhanced Vegetation Index (EVI) have been used for an agricultural drought assessment. Satellite images from the Kolar region of Karnataka are used to calculate these indices. This paper proposes an integration model based on Convolutional Neural Networks (CNN) and a bio-inspired algorithm (Sparrow Search Algorithm (SSA) and Barnacles Mating Optimizer (BMO)) considering the indices as population. Performance is compared with the standalone CNN model in terms of efficiency. For the CNN, the accuracy, time taken for Epoch1, and time taken for Epoch2 is 91%, 16s (3s/step), and 2s (2s/step), respectively. For the CNN integrated with SSA, it is 94%, 3s (3s/step) and 0s (43ms/step), respectively. For the CNN integrated with BMO, it is 94%, 3s (2s/step) and 0s (46ms/step) respectively.
Computational Hydraulics International
Title: A Bio-inspired and Deep Learning Based Hybrid Model for Agricultural Drought Assessment
Description:
Agricultural droughts can cause many serious hazards.
Drought monitoring indices, namely Normalized Difference Vegetation Index (NDVI), Atmospherically Resistant Vegetation Index (ARVI), Soil Adjusted Vegetation Index (SAVI), and Enhanced Vegetation Index (EVI) have been used for an agricultural drought assessment.
Satellite images from the Kolar region of Karnataka are used to calculate these indices.
This paper proposes an integration model based on Convolutional Neural Networks (CNN) and a bio-inspired algorithm (Sparrow Search Algorithm (SSA) and Barnacles Mating Optimizer (BMO)) considering the indices as population.
Performance is compared with the standalone CNN model in terms of efficiency.
For the CNN, the accuracy, time taken for Epoch1, and time taken for Epoch2 is 91%, 16s (3s/step), and 2s (2s/step), respectively.
For the CNN integrated with SSA, it is 94%, 3s (3s/step) and 0s (43ms/step), respectively.
For the CNN integrated with BMO, it is 94%, 3s (2s/step) and 0s (46ms/step) respectively.
Related Results
Redesigning Assessment for Holistic Learning
Redesigning Assessment for Holistic Learning
This paper discusses the importance of holistic assessment in the teaching and learning process at all levels of education, both in schools and in higher education institutions. Re...
The assessment of teamwork competencies for students focuses on dimensionality and mixed-method assessment
The assessment of teamwork competencies for students focuses on dimensionality and mixed-method assessment
The challenges of assessing teamwork competency, which internal structures can be multidimensional and complex. It is necessary to assess of the teamwork competency as unidimension...
BIOREMEDIATION OF ORGANIC GASSES FROM WASTE WATER OF FOOD INDUSTRIES
BIOREMEDIATION OF ORGANIC GASSES FROM WASTE WATER OF FOOD INDUSTRIES
Waste water treatment is done biologically. For this two different types of Bio-lters with same size are used. First Bio-lter contains nutrients with
packaging material for micro...
Intercultural Competence Development Among University Students From a Self-Regulated Learning Perspective
Intercultural Competence Development Among University Students From a Self-Regulated Learning Perspective
Abstract. Intercultural competence is defined as a lifelong learning task that can be developed in any intergroup situation. A self-regulated learning model is applied to better un...
Graphic Design for Children with Learning Disabilities Based on the Isaan Mural Painting
Graphic Design for Children with Learning Disabilities Based on the Isaan Mural Painting
The study of 'Graphic design for children with learning disabilities' is a study that delves into learning-disabled children in the Isaan region. The author used the survey to form...
Learning with ANIMA
Learning with ANIMA
The paper develops a semi-formal model of learning which modifies the traditional paradigm of artificial neural networks, implementing deep learning by means of a key insight borro...
Machine learning-based life cycle assessment for environmental sustainability optimization of a food supply chain
Machine learning-based life cycle assessment for environmental sustainability optimization of a food supply chain
Abstract
Effective resource allocation in the agri-food sector is essential in mitigating environmental impacts and moving toward circular food supply chains. The po...
Lake Michigan Beach-Ridge and Dune Development, Lake Level, and Variability in Regional Water Balance
Lake Michigan Beach-Ridge and Dune Development, Lake Level, and Variability in Regional Water Balance
AbstractA sequence of northern Lake Michigan beach ridges records lake-level fluctuations that are probably related to changes in late Holocene climate. Historically, episodes of f...
Recent Results
Low Temperature Elastic Properties of Aluminum 5083-0 and Four Ferritic Nickel Steels
Low Temperature Elastic Properties of Aluminum 5083-0 and Four Ferritic Nickel Steels
The low-temperature elastic properties have been determined for five commercial alloys that have possible structural applications at cryogenic temperatures. The alloys are 5083-0 a...
Il sogno di Chopin nell’autobiografia di George Sand
Il sogno di Chopin nell’autobiografia di George Sand
Nel presente lavoro viene analizzato il sogno di Chopin raccontato da George Sand nell'ultimo volume di Histoire de ma vie, dal punto di vista della produzione letteraria dello scr...