
Bere Benjamin Bantchina- PhD in Biosystems Engineering
- Postdoctoral Research Associate at University of Florida
Bere Benjamin Bantchina
- PhD in Biosystems Engineering
- Postdoctoral Research Associate at University of Florida
Postdoctoral Research Associate
About
15
Publications
8,198
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
32
Citations
Introduction
Current institution
Education
January 2020 - May 2024
August 2016 - June 2018
October 2010 - February 2014
Publications
Publications (15)
Crop type classification is crucial for policymaking and precision agriculture applications. This study aimed to develop a parcel-based maize (Zea mays L.) extraction approach using Sentinel 2A-derived spectral indices and machine learning (ML) in two distinct study sites: Yeşilova and Ormankadı villages in Bursa Province, Turkey. Employing 13 wide...
The integration of advanced technologies, such as soil proximal sensing, remote sensing, and machine learning, has revolutionized agricultural practices, particularly for corn yield prediction. This interdisciplinary approach harnesses the power of cutting-edge sensors to gather high-resolution data on soil conditions coupled with remote sensing te...
Developments in remote sensing data acquisition capabilities, data processing, and interpretation of ground-based, airborne, and satellite observations have made it possible to couple remote sensing technologies and precision crop management systems. Land cover and crop type classification is a fundamental task in remote sensing and is crucial in v...
Satellite remote sensing (RS) enables the extraction of vital information on land cover and crop type. Land cover and crop type classification using RS data and machine learning (ML) techniques have garnered considerable attention in the scientific community. This study aimed to enhance the field of remote sensing research using high-resolution sat...
This study aimed to simulate dynamic irrigation management zones (MZs) in two maize fields for a variable rate hose reel fertigation machine (VRFM) with a four-section boom control. Soil moisture content was measured from nine and four soil moisture sensors in Field 1 (8.2 ha) and Field 2 (2.5 ha), respectively, on different dates during the 2022 c...
Irrigation plays a crucial role in maize cultivation, as watering is essential for optimizing crop yield and quality, particularly given maize’s sensitivity to soil moisture variations. In the current study, a hybrid Long Short-Term Memory (LSTM) approach is presented aiming to predict irrigation scheduling in maize fields in Bursa, Turkey. A criti...
This study aimed to simulate dynamic irrigation management zones (MZs) in two maize fields for a variable rate hose-reel fertigation machine (VRFM) with a 4-section boom control. Soil moisture content was measured from nine and four soil moisture sensors in Field 1 (8.2 ha) and Field 2 (2.5 ha), respectively in different dates during the 2022 crop...
A hose-reel irrigation machine is being modified to a hose-reel fertigation machine (HFM) to apply irrigation water and liquid fertilizer through the same irrigation pipe with section control. Water distribution uniformity has the utmost importance, especially when irrigation needs to be done at a site-specific variable rate (VR) using an HFM. The...
Precipitations and discharges are key data in river watershed studies. In Nilüfer Dam Watershed, the flow values are measured every hour, whereas the cumulative rainfall values are recorded daily by the Public Water Management Department (DSİ). This study aimed to determine the characteristics of Nilüfer Dam Watershed and Synthetic Unit Hydrographs...
In a watershed study, one of the most challenging aspects is to provide watershed data. The most important of these data are precipitation and current values. The rainfall observation stations, which will represent the basin, constitute a very valuable dataset, where rainfall observations have been made within the desired interval and time. Also, i...
Uzaktan algılama, çoğu zaman karar verme ve doğal kaynak gelişiminin izlenmesi alanlarında ekonomik çözümler sunan güvenilir bir yöntemdir. Yüksek mekansal çözünürlüklere sahip uydular sayesinde, bitki örtüsünün mevsimsel ve yıllık değişimlerinin takip edilmesi ve belirlenmesi mümkündür. Uydu görüntüsündeki çeşitli bantlarda bulunan yansıma değerle...
Coğrafi bilgi sistemleri, doğal kaynaklara ait bilgilerin kolaylıkla saklanabileceği, sorgulanabileceği, analiz edilebileceği bir ortam sunmaktadır. Arazi ve toprak korunması için gerekli tedbirlerin belirlenmesinde de coğrafi bilgi sistemleri kullanılabilmektedir. Günümüzde, şehirlerin hızlı bir şekilde büyümesi, sanayileşmenin artması, arazi kayn...
Benin, due to its climate and soil conditions has one of the rarest agricultural regions in West Africa. Today, Benin’s agricultural potential has not fully been exploited. Economical collaborations between countries plays an important role in bringing about usable agricultural potentiality. Benin offers promising investment opportunities for the p...