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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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Determination of optimal daily light integral (DLI) for indoor cultivation of iceberg lettuce in an indigenous vertical hydroponic system

Scientific reports, 2023-07, Vol.13 (1), p.10923-10923, Article 10923

2023

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Image-based phenotyping of seed architectural traits and prediction of seed weight using machine learning models in soybean

Frontiers in plant science, 2023-09, Vol.14, p.1206357-1206357

2023

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Inversion of radiative transfer model for retrieval of wheat biophysical parameters from broadband reflectance measurements

Information processing in agriculture, 2016-06, Vol.3 (2), p.107-118

2016

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Synthesis and Performance Evaluation of Novel Bentonite-Supported Nanoscale Zero Valent Iron for Remediation of Arsenic Contaminated Water and Soil

Molecules (Basel, Switzerland), 2023-02, Vol.28 (5), p.2168

2023

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Phenomics based prediction of plant biomass and leaf area in wheat using machine learning approaches

Frontiers in plant science, 2023-06, Vol.14, p.1214801-1214801

2023

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Long‐term impact of inorganic fertilizers and farmyard manure on soil quality and productivity in subtropical Vertisols under a soybean‐wheat cropping system

Land degradation & development, 2024-08, Vol.35 (14), p.4257-4270

2024

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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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Trends and Change-Point in Satellite Derived Phenology Parameters in Major Wheat Growing Regions of North India During the Last Three Decades

Journal of the Indian Society of Remote Sensing, 2018, Vol.46 (1), p.59-68

2018

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Impact of contrasting tillage, residue mulch and nitrogen management on soil quality and system productivity under maize-wheat rotation in the north-western Indo-Gangetic Plains

Frontiers in sustainable food systems, 2023-08, Vol.7

2023

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Estimation of soil hydraulic properties using proximal spectral reflectance in visible, near-infrared, and shortwave-infrared (VIS–NIR–SWIR) region

Geoderma, 2009-09, Vol.152 (3), p.338-349

2009

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Rapid prediction of soil available sulphur using visible near-infrared reflectance spectroscopy

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

2021

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Leaf Count Aided Novel Framework for Rice (Oryza sativa L.) Genotypes Discrimination in Phenomics: Leveraging Computer Vision and Deep Learning Applications

Plants (Basel), 2022-10, Vol.11 (19), p.2663

2022

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Relationship of Hyperspectral Reflectance Indices with Leaf N and P Concentration, Dry Matter Accumulation and Grain Yield of Wheat

Journal of the Indian Society of Remote Sensing, 2017-10, Vol.45 (5), p.773-784

2017

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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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Imaging Sensor-Based High-Throughput Measurement of Biomass Using Machine Learning Models in Rice

Agriculture (Basel), 2023-04, Vol.13 (4), p.852

2023

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Predictive Mapping of Soil Micronutrients Using Geographic Information System for Site Specific Management Interventions in a Semiarid Farm, India

International Journal of Plant & Soil Science, 2024-07, Vol.36 (7), p.859-874

2024

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Farm-scale Mapping of Soil Phosphorus and Potassium Fractions Using Geostatistical Technique

International Journal of Plant & Soil Science, 2022-11, p.1257-1270

2022

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Field scale spatial wheat yield forecasting system under limited field data availability by integrating crop simulation model with weather forecast and satellite remote sensing

Agricultural systems, 2022-01, Vol.195, p.103299, Article 103299

2022

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Digital mapping of soil properties: A review

Agricultural research journal, 2022, Vol.59 (2), p.191-199

2022

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Field scale wheat LAI retrieval from multispectral Sentinel 2A-MSI and LandSat 8-OLI imagery: effect of atmospheric correction, image resolutions and inversion techniques

Geocarto international, 2021-11, Vol.36 (18), p.2044-2064

2021

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Potential of X-ray imaging to detect citrus granulation in different cultivars with progress in harvesting time

Indian journal of experimental biology, 2022-05

2022

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Partial least square regression based machine learning models for soil organic carbon prediction using visible–near infrared spectroscopy

Geoderma Regional, 2023-06, Vol.33, p.e00628, Article e00628

2023

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Reflectance Based Models for Non-Destructive Prediction of Lycopene Content in Tomato Fruits

National Academy of Sciences, India. Proceedings. Section B. Biological Sciences, 2022-12, Vol.92 (4), p.759-769

2022

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Indian Agriculture: Redefining Strategies and Priorities

Economic and political weekly, 2018-10, Vol.53 (41), p.84-91

2018

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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

Determination of optimal daily light integral (DLI) for indoor cultivation of iceberg lettuce in an indigenous vertical hydroponic system

Image-based phenotyping of seed architectural traits and prediction of seed weight using machine learning models in soybean

Inversion of radiative transfer model for retrieval of wheat biophysical parameters from broadband reflectance measurements

Synthesis and Performance Evaluation of Novel Bentonite-Supported Nanoscale Zero Valent Iron for Remediation of Arsenic Contaminated Water and Soil

Phenomics based prediction of plant biomass and leaf area in wheat using machine learning approaches

Long‐term impact of inorganic fertilizers and farmyard manure on soil quality and productivity in subtropical Vertisols under a soybean‐wheat cropping system

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

Trends and Change-Point in Satellite Derived Phenology Parameters in Major Wheat Growing Regions of North India During the Last Three Decades

Impact of contrasting tillage, residue mulch and nitrogen management on soil quality and system productivity under maize-wheat rotation in the north-western Indo-Gangetic Plains

Estimation of soil hydraulic properties using proximal spectral reflectance in visible, near-infrared, and shortwave-infrared (VIS–NIR–SWIR) region

Rapid prediction of soil available sulphur using visible near-infrared reflectance spectroscopy

Leaf Count Aided Novel Framework for Rice (Oryza sativa L.) Genotypes Discrimination in Phenomics: Leveraging Computer Vision and Deep Learning Applications

Relationship of Hyperspectral Reflectance Indices with Leaf N and P Concentration, Dry Matter Accumulation and Grain Yield of Wheat

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

Imaging Sensor-Based High-Throughput Measurement of Biomass Using Machine Learning Models in Rice

Predictive Mapping of Soil Micronutrients Using Geographic Information System for Site Specific Management Interventions in a Semiarid Farm, India

Farm-scale Mapping of Soil Phosphorus and Potassium Fractions Using Geostatistical Technique

Field scale spatial wheat yield forecasting system under limited field data availability by integrating crop simulation model with weather forecast and satellite remote sensing

Digital mapping of soil properties: A review

Field scale wheat LAI retrieval from multispectral Sentinel 2A-MSI and LandSat 8-OLI imagery: effect of atmospheric correction, image resolutions and inversion techniques

Potential of X-ray imaging to detect citrus granulation in different cultivars with progress in harvesting time

Partial least square regression based machine learning models for soil organic carbon prediction using visible–near infrared spectroscopy

Reflectance Based Models for Non-Destructive Prediction of Lycopene Content in Tomato Fruits

Indian Agriculture: Redefining Strategies and Priorities

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