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AfPCA Proceedings 2024

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Adoption of Precision Agriculture
Proximal and Remote Sensing
Software and Mobile Applications
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Authors
ARAI, Y
Abbo, S
Abdelatif, M
Abinadaw, T
Akaba, S
Amuah, C
Anberbir, T
Atiah, K
Avneri, A
BEN NASR, J
Bassarou, A
Bede, L
Belal, A
Biswas, A
Bonfil, D.J
Bouabid, R
Chiboub, H
Cummings, C
Daggupati, P
Dias Paiao, G
Elsayed, M
Emam, M
Esilaba, A.O
Esso-Iheyou, G
Fernández, F.G
Frimpong-Manso, J
Fu, Y
Githinji, M.G
Hendawy, E
Herrmann, I
ITO, T
Jalhoum, M.E
Justin, P
Kokou Zovodu, K
Komlan, A
Kovacs, B
Kulmany, I.M
Lati, R
Lin, S
MORIMOTO, E
Milics, G
Msaddak, M
NONAMI, K
Naeve, S.L
Nigon, T.J
Omega, S
Peleg, Z
Sadeh, R
Szekeres, L
Taneja, P
Taylor, J
Teye, E
Tubul, Y
Vasava, H
Vona, M
Vona, V
Zahran, M
Topics
Adoption of Precision Agriculture
Proximal and Remote Sensing
Software and Mobile Applications
Type
Oral
Poster
Year
2020
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Topics

Filter results16 paper(s) found.

1. Socio-demographic Factors Contributing to Adoption of E-commerce by Small Agribusiness Enterprises in the Upper East Region of Ghana

Technological revolution has become inevitable to development both to develop and developing economies in the 21th century. This revolution has triggered more advance market-base approaches to the transfer of goods and services, and information. This advance market-based approach has used the internet and electronic devices to bring suppliers and buyers more closely than ever before. Therefore, the adoption of E-commerce by Small agribusiness enterprises is inevitable as market exp... S. Omega, S. Akaba

2. Estimating soil organic carbon from cell phone images

Soil organic matter (SOM) is considered as the backbone of soil health and soil quality. Thus, its’ estimation is critical to support the development of management decision including precision agriculture. To overcome challenges of laborious, rather expensive and time-consuming laboratory measurements, recent advances in image acquisition systems provided a new dimension of image-based SOM prediction. However, challenges remain in using soil images taken directly in the field due to var... A. Biswas, Y. Fu, P. Taneja, S. Lin, P. Daggupati, H. Vasava

3. Acceptance and Usage of Agri-tech in smallholder Chinese systems: Lesson learnt and implications for other small-holder farming systems.

This paper will present a synthesis of activities performed in a collaborative UK-China project (PAFiC - 2015-2019) aimed at achieving a better understanding of the translation of precision agriculture (PA) technologies into small farms in China. The intent is to outline the farmer-focused approach that was used in the PAFiC project and the tools developed to understand PA adoption trends in China. Finally, we consider the potential implications of the outputs from PAFiC for promoti... J. Taylor

4. Delineation of site-specific management zones based on soil apparent electrical conductivity (ECa) measurement combining traditional soil sampling method

Site-specific management requires the identification of treatment areas based on homogeneous characteristics. The designation of subfield regions is challenging because of complex correlations appearing in spatial variability of soil properties and nutrient concentrations.  The research was conducted on two neighbouring fields (48 ha and 15 ha) in Fejér county, Hungary. Soil ECa mapping was carried out on 22 October, 2019 and soil samples were taken on 15 November, 2019.... I.M. Kulmany, V. Vona, M. Vona, L. Szekeres, L. Bede, G. Milics, B. Kovacs

5. Integrating Models and Data to Observe the Effect of Biochar Used in a Rice-Cowpea Intercrop System on Soil Hydrological Properties

Physical properties of biochar like small particle size are highly porous and can modify soil properties and help to enhance soil water dynamics. However, there has been no consistent long-term measurements of change in soil physical properties due to biochar application under real field conditions. The objective was to assess the impact of biochar use in a rice-cowpea intercrop system on soil hydraulic properties at the field by integrating a modeling with soil water content measurements in ...

6. Estimating greensnap yield damage with canopy reflectance: a case study

Grain yield reduction caused by storm-induced plant breakage (green snap) occurs often in corn fields. With climate change and an increasing frequency in the occurrence of extreme weather events, it is essential to develop methods that can accurately estimate green snap damage, so growers can be properly compensated by insurance companies for yield loss.  Because plant breakage also affects crop canopy reflectance, this case study aimed to characterize the changes in crop canopy reflecta... G. Dias paiao, T.J. Nigon, F.G. Fernández, C. Cummings, S.L. Naeve

7. Feasibility studies on developing farmer friendly rapid in-situ evaluation technique for soil quality in cocoa planation based on pocket-sized near-infrared spectroscopy and chemometrics

Rapid and in-situ determination of soil quality holds a brighter potential for improving food security, food quality and minimizing waste of excessive application of soil amendments with its effect of pollution. In this study a pocket-sized NIR spectroscopy (740 -1070 nm) and chemometrics coupled with mobile phone was used to predict nitrogen (N), phosphorus (P), potassium (K), pH and calcium (Ca2+) in cocoa plantation soils in Ghana. Different partial least square algorithms (Full...

8. Spectral assessment of chickpea morpho-physiological traits from space, air and ground

Chickpea (Cicer arietinum) is an important grain legume in semi-arid regions and water-stress is a major constraint to its productivity.  Area under chickpea cultivation is growing but climate change toward greater aridity results in higher precipitation instability and risks yields.  The ability to assess water potential can support irrigation decisions.  Thus, improved ability to spatially assess plants water status can promote more efficient irrigation.  The cu... I. Herrmann, R. Sadeh, A. Avneri, Y. Tubul, R. Lati, S. Abbo, D.J. Bonfil, Z. Peleg

9. VALIDATION OF CLIMATE SMART AGRICULTURAL TECHNOLOGIES FOR IMPROVED CROP YIELDS IN SEMI-ARID LANDS IN KENYA

Kenya’s Vision 2030 economic strategy identifies agriculture as one of the key sectors to drive the Country’s economy. However, the agricultural sector faces various challenges. For instance, the sector is predominantly rain-fed due large coverage of arid and semi-arid lands (ASALs) which is approximately 84% of the total land area. Due to challenges associated with rain-fed agriculture in Kenya, the ASALs have the lowest development indicators and the highest incidence o... A.O. Esilaba

10. Effect of variability in monthly rainfall and temperature has any influence to daily milk production in Sahiwal cows in Kenya

Githinji M.G 1,2* , Ilatsia E.D. 1 , Muasya T.K 2 and Bebe B.O. 2 1 Kenya Agriculture and Livestock Research Organization, KALRO-Naivasha, P.O. Box 25 – 20117 Naivasha, Kenya 2 Department of Animal Sciences, Egerton University, P.O. Box 536 – 20115 Egerton, Kenya * corresponding author; macgithinji@gmail.com Abstract Monthly milk yield records of Sahiwal cows and meteorological data for monthly minimum and maximum temper... M.G. Githinji

11. Precision Farming Technology to Increase Soil and Crop Productivity in Egypt Using Remote Sensing and GIS

Precision farming or site-specific land management is a new approach for development the agriculture processes to increase the soil and crop productivity with saving efforts and costs. Precision farming includes many techniques such as Global Position Systems (GPS), Geographic Information Systems (GIS), Remote Sensing (RS), Yield Monitors, Internet of Things (IOT), Variable Rate Application (VRA), Yield Mapping, Site-Specific Management Zones (SSMZ) and Crop Modeling. SSMZ delineation can be ... A. Belal, M. Elsayed , M.E. Jalhoum, M. abdelatif , E. Hendawy , M. Emam, M. Zahran

12. Development of Lodging Direction Determination System Using Image Processing

In this study, image processing system was developed for application on rice plants to determine lodging condition, which was contributing factor to declining harvester efficiency by using combine harvester. Therefore, We developed a system for determination of the lodging direction by algorithm based on convolutional neural network (CNN). As for deep learning framework, Pytorch1.1.0 were used to train and test the judging direction. GoogLeNet was used as a pre-trained CNN model. ... E. Morimoto, Y. Arai, K. Nonami, T. Ito

13. Determinants of the adoption of an intelligent monitoring system and effects on farms performance in Tunisia

Concidering the observation of the rise of Computerized Management Software Packages and intelligent monitoring in a path of modernization of agricultural techniques, we questioned the main factors influencing the decision to adopt management software, farmers’ perception of these management tools and their impact on farm performance. Referring to a theoretical framework focused on innovation and the adoption of technologies in agriculture, we triggered the hypothesis of research... J. Ben nasr, H. Chiboub, M. Msaddak

14. détermination du bilan minéral partiel des exploitations agricoles à base du coton à l’aide du modèle NUTMON

La dégradation des sols des exploitations agricoles constitue ces dernières années une des causes principales des baisses de rendements au champ. A cet effet, la détermination quantitative des éléments nutritifs des sols cultivés peut contribuer à concevoir des stratégies de gestion durable de la fertilité de ces sols. C’est dans cette optique que 30 exploitations agricoles à base de coton ont été... A. Komlan, K. Kokou zovodu, A. Bassarou, G. Esso-iheyou, P. Justin

15. The status of precision agriculture and its adoption in Morocco

Precision agriculture (PA), as an integrated crop management system that uses various tools and technologies for assessing and monitoring soil and crop spatial variability and for implementing site-specific (variable rate) applications, is a concept that becomes nowadays in many developed countries a common practice rather than an innovation. On the contrary, in most developing countries, agriculture is still struggling with the basics of farming and is constrained by many factors, such as la... R. Bouabid

16. Application of Information & Communication Technologies (ICTs) into Precision Farming Ecosystem in Ethiopian Digital Agriculture Development Perspective Plan

Information and Communication Technologies (ICTs) in agriculture is an emerging fields focusing on the enhancement of agriculture and digital technologies for precision farming are now replacing the traditional farming system. The Ethiopian government recognized the importance ICTs for the country’s development and ICT in Agriculture is also expected to be a key catalyst for the transformation of Agriculture so as to contribute for the economic prosperity in the country. The endorsed an... T. anberbir