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Deep learning-based approach for identification of diseases of maize crop

Scientific reports, 2022-04, Vol.12 (1), p.6334-14, Article 6334

2022

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PDSE-Lite: lightweight framework for plant disease severity estimation based on Convolutional Autoencoder and Few-Shot Learning

Frontiers in plant science, 2024-01, Vol.14, p.1319894-1319894

2024

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SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging

Plant methods, 2020-03, Vol.16 (1), p.40-40, Article 40

2020

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TrIncNet: a lightweight vision transformer network for identification of plant diseases

Frontiers in plant science, 2023-07, Vol.14, p.1221557-1221557

2023

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Multi-objective particle swarm optimization for regional crop planning

The Indian journal of agricultural sciences, 2023-02, Vol.93 (2)

2023

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SlypNet: Spikelet-based yield prediction of wheat using advanced plant phenotyping and computer vision techniques

Frontiers in plant science, 2022-08, Vol.13, p.889853-889853

2022

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A lightweight convolutional neural network for recognition of severity stages of maydis leaf blight disease of maize

Frontiers in plant science, 2022-12, Vol.13, p.1077568-1077568

2022

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Development and Assessment of SPM: A Sigmoid-Based Model for Probability Estimation in Non-Repetitive Unit Selection With Replacement

IEEE access, 2024, Vol.12, p.16421-16430

2024

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AgriResponse: A Real-Time Agricultural Query-Response Generation System for Assisting Nationwide Farmers

IEEE access, 2024, Vol.12, p.294-311

2024

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Yield-SpikeSegNet: An Extension of SpikeSegNet Deep-Learning Approach for the Yield Estimation in the Wheat Using Visual Images

Applied artificial intelligence, 2022-12, Vol.36 (1)

2022

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A Machine Learning Approach for the Non-Destructive Estimation of Leaf Area in Medicinal Orchid Dendrobium nobile L

Applied sciences, 2022-05, Vol.12 (9), p.4770

2022

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Leaf area assessment using image processing and support vector regression in rice

The Indian journal of agricultural sciences, 2022-10, Vol.91 (3)

2022

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Computational insights into RNAi-based therapeutics for foot and mouth disease of Bostaurus

Scientific reports, 2020-12, Vol.10 (1)

2020

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Computational insights into RNAi-based therapeutics for foot and mouth disease of Bos taurus

Scientific reports, 2020-12, Vol.10 (1), p.21593-21593, Article 21593

2020

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Quantifying effects of climate change and farmers' information demand on wheat yield in India: a deep learning approach with regional clustering

Frontiers in sustainable food systems, 2024-05, Vol.8

2024

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Development and validation of mobile based decision support system for Human Physical Drudgery Index (HPDI)

The Indian journal of agricultural sciences, 2021-08, Vol.91 (8)

2021

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Image-based identification of maydis leaf blight disease of maize (Zea mays) using deep learning

The Indian journal of agricultural sciences, 2021-09, Vol.91 (9)

2021

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Web-SpikeSegNet: Deep Learning Framework for Recognition and Counting of Spikes From Visual Images of Wheat Plants

IEEE access, 2021, Vol.9, p.76235-76247

2021

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Identification of optimal crop plan using nature inspired metaheuristic algorithms

The Indian journal of agricultural sciences, 2020-08, Vol.90 (8), p.1587-1592

2020

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Development and evaluation of automation system for irrigation scheduling in broccoli (Brassica oleracea)

The Indian journal of agricultural sciences, 2021-05, Vol.91 (5)

2021

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AHP Analyser: A decision-making tool for prioritizing climate change mitigation options and forest management

Frontiers in environmental science, 2023-01, Vol.10

2023

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Automating yellow rust disease identification in wheat using artificial intelligence

The Indian journal of agricultural sciences, 2021-09, Vol.91 (9)

2021

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E-Governance of skill training programme under Garib Kalyan Rojgar Abhiyaan

The Indian journal of agricultural sciences, 2022-03, Vol.92 (3), p.388-392

2022

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Artificial neural network for estimating leaf fresh weight of rice plant through visual-nir imaging

The Indian journal of agricultural sciences, 2019-10, Vol.89 (10)

2019

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KVK Mobile App: An ICT tool to empower farmers

The Indian journal of agricultural sciences, 2019-08, Vol.89 (8)

2019

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Deep learning-based approach for identification of diseases of maize crop

PDSE-Lite: lightweight framework for plant disease severity estimation based on Convolutional Autoencoder and Few-Shot Learning

SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging

TrIncNet: a lightweight vision transformer network for identification of plant diseases

Multi-objective particle swarm optimization for regional crop planning

SlypNet: Spikelet-based yield prediction of wheat using advanced plant phenotyping and computer vision techniques

A lightweight convolutional neural network for recognition of severity stages of maydis leaf blight disease of maize

Development and Assessment of SPM: A Sigmoid-Based Model for Probability Estimation in Non-Repetitive Unit Selection With Replacement

AgriResponse: A Real-Time Agricultural Query-Response Generation System for Assisting Nationwide Farmers

Yield-SpikeSegNet: An Extension of SpikeSegNet Deep-Learning Approach for the Yield Estimation in the Wheat Using Visual Images

A Machine Learning Approach for the Non-Destructive Estimation of Leaf Area in Medicinal Orchid Dendrobium nobile L

Leaf area assessment using image processing and support vector regression in rice

Computational insights into RNAi-based therapeutics for foot and mouth disease of Bostaurus

Computational insights into RNAi-based therapeutics for foot and mouth disease of Bos taurus

Quantifying effects of climate change and farmers' information demand on wheat yield in India: a deep learning approach with regional clustering

Development and validation of mobile based decision support system for Human Physical Drudgery Index (HPDI)

Image-based identification of maydis leaf blight disease of maize (Zea mays) using deep learning

Web-SpikeSegNet: Deep Learning Framework for Recognition and Counting of Spikes From Visual Images of Wheat Plants

Identification of optimal crop plan using nature inspired metaheuristic algorithms

Development and evaluation of automation system for irrigation scheduling in broccoli (Brassica oleracea)

AHP Analyser: A decision-making tool for prioritizing climate change mitigation options and forest management

Automating yellow rust disease identification in wheat using artificial intelligence

E-Governance of skill training programme under Garib Kalyan Rojgar Abhiyaan

Artificial neural network for estimating leaf fresh weight of rice plant through visual-nir imaging

KVK Mobile App: An ICT tool to empower farmers

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