A Study on Technology-LED Solutions for Fruit Grading to Address Post-Harvest Handling Issues of Horticultural Crops

2020 ◽  
pp. 203-221
Author(s):  
Arun Kumar R. ◽  
Vijay S. Rajpurohit ◽  
Sandeep Kautish
Keyword(s):  
Quality Assessment ◽  
Value Addition ◽  
Research Gaps ◽  
Major Phase ◽  
Comprehensive Review ◽  
Post Harvest ◽  
Horticultural Crops ◽  
Fruit Grading ◽  
Labor Requirements

The reduction of post-harvest losses and value addition of the horticultural corps has attained the higher priority of the current research works. Grading is the major phase in post-harvest handling. Presently grading is done on the basis of observation and through experience. Various drawbacks associated with such manual grading are subjectivity, tediousness, labor requirements, availability, inconsistency, etc. Such problems can be alleviated by incorporating automation in the process. Researchers round the clock are working towards the development of technology-driven solutions in order to grade/sort/classify various agricultural and horticultural produce. With the motto of helping the researchers in the field of grading and quality assessment of fruits and other horticulture products, the present work endeavors the following major contributions: (1) a precise and comprehensive review on technology-driven solutions for grading/sorting/classification of fruits, (2) major research gaps addressed by the researchers, and (3) research gaps to be addressed.

scholarly journals Value Addition: A Tool to Minimize the Post-harvest Losses in Horticultural Crops

2014 ◽  
Vol 4 (5) ◽  
pp. 195-198
Author(s):  
Parveen Saima ◽  
◽  
Ishfaq Bushra ◽  
Kausar Humaira ◽  
Saeed Shazia ◽  
...  
Keyword(s):  
Value Addition ◽  
Post Harvest ◽  
Horticultural Crops

Attitude Assessment of Farmers Towards Post-harvest Technologies and Value Addition of Horticultural Crops in Punjab

2017 ◽  
Vol 59 (2-3) ◽  
pp. 164-168 ◽  
Author(s):  
Sukanya Barua ◽  
Premlata Singh ◽  
D. Mridiula ◽  
R. K. Gupta ◽  
Satyapriya ◽  
...  
Keyword(s):  
Attitude Assessment ◽  
Value Addition ◽  
Post Harvest ◽  
Horticultural Crops

scholarly journals A comprehensive review of sucker rod pumps’ components, diagnostics, mathematical models, and common failures and mitigations

2021 ◽  
Author(s):  
Sherif Fakher ◽  
Abdelaziz Khlaifat ◽  
M. Enamul Hossain ◽  
Hashim Nameer
Keyword(s):  
Mathematical Models ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Holistic View ◽  
Comprehensive Review ◽  
Artificial Lift ◽  
Sucker Rod ◽  
Sucker Rod Pump

AbstractIn many oil reservoirs worldwide, the downhole pressure does not have the ability to lift the produced fluids to the surface. In order to produce these fluids, pumps are used to artificially lift the fluids; this method is referred to as artificial lift. More than seventy percent of all currently producing oil wells are being produced by artificial lift methods. One of the most applied artificial lift methods is sucker rod pump. Sucker rod pumps are considered a well-established technology in the oil and gas industry and thus are easy to apply, very common worldwide, and low in capital and operational costs. Many advancements in technology have been applied to improve sucker rod pumps performance, applicability range, and diagnostics. With these advancements, it is important to be able to constantly provide an updated review and guide to the utilization of the sucker rod pumps. This research provides an updated comprehensive review of sucker rod pumps components, diagnostics methods, mathematical models, and common failures experienced in the field and how to prevent and mitigate these failures. Based on the review conducted, a new classification of all the methods that can fall under the sucker rod pump technology based on newly introduced sucker rod pump methods in the industry has been introduced. Several field cases studies from wells worldwide are also discussed in this research to highlight some of the main features of sucker rod pumps. Finally, the advantages and limitations of sucker rod pumps are mentioned based on the updated review. The findings of this study can help increase the understanding of the different sucker rod pumps and provide a holistic view of the beam rod pump and its properties and modeling.

scholarly journals Research on the Indian Capital Market: A Review

1994 ◽  
Vol 19 (1) ◽  
pp. 15-32 ◽  
Author(s):  
Samir K Barua ◽  
V Raghunathan ◽  
Jayanth R Varma
Keyword(s):  
Capital Market ◽  
Research Gaps ◽  
Research Issues ◽  
Comprehensive Review ◽  
Indian Economy ◽  
Opening Up ◽  
The Capital Market

The Indian capital market has been attracting considerable attention in recent years especially after the opening up of the Indian economy. As a result, several researchers have addressed various issues pertaining to the capital market in India. What has been the trend of research in this field over the last 15 years? This article by Barua, Raghunathan, and Varma examines this issue and provides a comprehensive review on the nature of research in the field of capital market in India. In the process, it also identifies research gaps and research issues that need attention from researchers.

scholarly journals Greenhouse Crop Identification from Multi-Temporal Multi-Sensor Satellite Imagery Using Object-Based Approach: A Case Study from Almería (Spain)

2018 ◽  
Vol 10 (11) ◽  
pp. 1751 ◽  
Author(s):  
Abderrahim Nemmaoui ◽  
Manuel A. Aguilar ◽  
Fernando J. Aguilar ◽  
Antonio Novelli ◽  
Andrés García Lorca
Keyword(s):  
Time Series ◽  
Binary Classification ◽  
Free Access ◽  
Landsat 8 ◽  
Horticultural Crops ◽  
Command Line Tool ◽  
Multi Temporal ◽  
Tree Models ◽  
Sentinel 2A

A workflow headed up to identify crops growing under plastic-covered greenhouses (PCG) and based on multi-temporal and multi-sensor satellite data is developed in this article. This workflow is made up of four steps: (i) data pre-processing, (ii) PCG segmentation, (iii) binary pre-classification between greenhouses and non-greenhouses, and (iv) classification of horticultural crops under greenhouses regarding two agronomic seasons (autumn and spring). The segmentation stage was carried out by applying a multi-resolution segmentation algorithm on the pre-processed WorldView-2 data. The free access AssesSeg command line tool was used to determine the more suitable multi-resolution algorithm parameters. Two decision tree models mainly based on the Plastic Greenhouse Index were developed to perform greenhouse/non-greenhouse binary classification from Landsat 8 and Sentinel-2A time series, attaining overall accuracies of 92.65% and 93.97%, respectively. With regards to the classification of crops under PCG, pepper in autumn, and melon and watermelon in spring provided the best results (Fβ around 84% and 95%, respectively). Data from the Sentinel-2A time series showed slightly better accuracies than those from Landsat 8.

Post Harvest Technology and Value Addition of Spices

Indian Spices ◽  
2018 ◽  
pp. 249-276
Author(s):  
Ankan Das ◽  
Amit Baran Sharangi
Keyword(s):  
Value Addition ◽  
Post Harvest
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