Explanipedia

Static and dynamic cutting forces in coriander crop harvesting: Engineering insights for harvester optimization Open

T N Aruna, P. Sahoo, Dilip Kumar Kushwaha, Nrusingh Charan Pradhan, Kishan Kumar , et al. · 2025

The study investigates the mechanical requirements for harvesting coriander (Coriandrum sativum L.) by analyzing static and dynamic cutting forces for three distinct varieties: SIMCO, GCr1, and GCr2. Through controlled laboratory experimen…

Assessment of Mechanization Index of Sugarcane Cultivation in Mandya District, Karnataka, India Open

T N Aruna, Bharath Kumar K, Ramappa, Sachin C Hallad, Kavan Kumar , et al. · 2024

Farm mechanization is the development and introduction of mechanized assistance of all forms and at any level of sophistication in agricultural production to improve the efficiency of human time and labour. Mandya District is one of the mo…

Energy Consumption Pattern in Irrigated Paddy Cultivation in Thiruvanamalai District of Tamil Nadu: A Case Study Open

Soumya Krishnan, Aruna. T. N, Seelam Jayakrishna, Kishan Kumar, Ramappa , et al. · 2024

A large amount of energy is consumed in different stages of paddy cultivation. On-farm energy use patterns in paddy crop systems, both source-wise and operation-wise, were determined to prepare an energy audit in irrigated paddy cultivatio…

A Study on Dimensional Variations in Commercial Cultivator Tines and Reversible Shovels in Comparison to Bureau of Indian Standards Norms Open

Aruna. T. N, Sachin C Hallad, Ramappa, Bharath Kumar K, Kavan Kumar , et al. · 2024

Accelerated demand for farm equipment has encouraged many producers to initiate production of farm machinery. Bureau of Indian Standards (BIS) provide standards for cultivators but commercial agricultural machinery manufacturers design bas…

A review on integrated weed management practices-Mechanical and chemical methods Open

Avesh Kumar Singh, Antony Augustine, Aruna TN, Amit Gupta, Utkarsh Dwivedi · 2024

Application of drones in pesticide spraying: A review Open

Kishan Kumar, Aruna TN, Anand BA, Avesh Kumar Singh, Soumya Krishnan , et al. · 2024

Optimization of Operational Parameters for Axial Flow Paddy Thresher Using RSM Open

Dilwar Singh Parihar, Atul Kumar Shrivastava, Avesh Kumar Singh, Neeraj Kumar Singh, Akshay Sanjay Mahadik , et al. · 2022

Post-harvest practices remains significant qualitative and quantitative throughout the paddy value chain despite rising agricultural productivity. When it comes to rice, most losses occur during the harvesting and threshing operations. In …

Automating yellow rust disease identification in wheat using artificial intelligence Open

Sapna Nigam, Rajni Jain, Sudeep Marwaha, Alka Arora, Vaibhav Kumar Singh , et al. · 2021

Plant disease has long been one of the major threats to world food security due to reduction in the crop yield and quality. Accurate and precise diagnosis of plant diseases has been a significant challenge. Cost-effective automated computa…

Development and evaluation of multi nozzle backpack type power sprayer Open

Avesh Kumar Singh, Gursahib Singh Manes, Anoop Dixit, Sukhwinder Singh, Manjeet Singh · 2019

The study deals the development and evaluation of a multi-nozzle backpack type power sprayer, which can be used to spray at all stages of cotton crop by using the boom both in horizontal (during early stages of crop) and in vertical (durin…

DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction Open

Brandon Ballinger, Johnson Hsieh, Avesh Kumar Singh, Nimit S. Sohoni, Jianguo Wang , et al. · 2018

We train and validate a semi-supervised, multi-task LSTM on 57,675 person-weeks of data from off-the-shelf wearable heart rate sensors, showing high accuracy at detecting multiple medical conditions, including diabetes (0.8451), high chole…

Passive Detection of Atrial Fibrillation Using a Commercially Available Smartwatch Open

Geoffrey H. Tison, José M. Sánchez, Brandon Ballinger, Avesh Kumar Singh, Jeffrey E. Olgin , et al. · 2018

This proof-of-concept study found that smartwatch photoplethysmography coupled with a deep neural network can passively detect AF but with some loss of sensitivity and specificity against a criterion-standard ECG. Further studies will help…

DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk\n Prediction Open

Brandon Ballinger, Johnson Hsieh, Avesh Kumar Singh, Nimit S. Sohoni, Jack Wang , et al. · 2018

We train and validate a semi-supervised, multi-task LSTM on 57,675\nperson-weeks of data from off-the-shelf wearable heart rate sensors, showing\nhigh accuracy at detecting multiple medical conditions, including diabetes\n(0.8451), high ch…

DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction Open

Brandon Ballinger, Johnson Hsieh, Avesh Kumar Singh, Nimit S. Sohoni, Jack Wang , et al. · 2018

We train and validate a semi-supervised, multi-task LSTM on 57,675 person-weeks of data from off-the-shelf wearable heart rate sensors, showing high accuracy at detecting multiple medical conditions, including diabetes (0.8451), high chole…

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