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Early Yield Prediction Using Image Analysis of Apple Fruit and Tree Canopy Features with Neural Networks

Susan Bones*

 

iMedPub LTD, 483, Green lanes, London, N13 4BS, UK

Corresponding Author:
Susan Bones
iMedPub LTD, 483, Green lanes
London, N13 4BS, UK
E-mail: [email protected]

Received: December 30, 2020; Accepted: January 15, 2021; Published: January 25, 2021

 
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Abstract

The oddity of the methodology is the mix of natural product highlights with (four) tree shelter highlights (number of natural product FN, single organic product size FA, region of organic product bunches FCA, and foliage leaf zone (LA)) to create two back proliferation neural organization (BPNN) models for early yield expectation, i.e., for youthful, little, green fruitlets and develop red natural products. Apple was utilized as a model organic product or crop and the calculations were created for picture obtaining under characteristic light conditions in the plantation. The outcomes showed that BPNN can be utilized for apple yield forecast and that those four chose shelter highlights are reasonable for early yield expectation and present an exquisite route for foreseeing natural product yield utilizing machine vision and AI for apple and conceivably other natural product crops.

Dear Readers

I am pleased to mention that during the year 2020, all issues of volume 4 were published online well within the time, and the print issue was also brought out and dispatched within 28 to 30 days of publishing the issue online. The publication process of our journal starts on the first day of submission. On the first day after the submission of the paper, we upload it to our PreQc portal for the pre quality assessment if the paper is accepted in the PreQc means no plagiarism report is found we assign an editor from our editorial board to assign a reviewer to review the paper. After 24 hrs. to 48 hrs. we get the reviewer comments and send the file to the editor for approval. After these things, we go for the article processing (Author proof, etc.) and after 20 to 21 days we send the galley proof to the author for further correction from the author side and raise the invoice and send it to the author. These whole things took maximum 28 days and finally, we make the article online on the 28th day or 30th day.

Journal of Plant Science and Agricultural Research (IPJPSAR) addresses all aspects of Agricultural research and fundamental understanding, through the rapid publication of high-quality original research, systematic reviews, meta-analyses and technology reports, commentaries, perspectives, and scholarly comments on vast yet significant areas of Plant sciences and Agriculture. This is a scientific peer-reviewed open access journal that publishes case reports in all areas of plant sciences and Agriculture. The Journal aims to consider any original research articles, review articles, editorial, news, case reports, short communications, clinical briefs and advances, brief reports on clinical and laboratory observation, correspondence, images, problem-solving perspectives, and news updates that expand the field of general plant science and Agriculture knowledge. The principal criterion for publication is the potential impact on patient care. It intends to promote the latest advances and developmental activities conducted in the expansive field. Also, we have a well affiliated and recognized Editorial team to our journal which is very much cooperative. They are basically from Korea, Malaysia, Saudi Arabia, TURKEY, USA, and INDIA and all are well-established scientists and professors. Globally also the journal has a good impact online. During the calendar year 2018, 2019 and 2020 IPJPSAR received a total no of 61 papers out of which 31 are accepted and 30 are rejected in the preliminary screening due to plagiarism or being out of the format. During the year 2018, 2019, and 2020 total no of 31 articles were subjected to the peer-review process, and out of these 31 are accepted. And total no of 29 articles was published in the journal out of which 50% foreign authors. I would like to express my gratitude to all the authors, reviewers, the publisher, the advisory, and the editorial board of IPJPSAR and look forward to their unrelenting support to bring out volume 4 of IPJPSAR at the scheduled time.

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