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AfPCA Proceedings 2024

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Shisanya , C.A
Kamutando, C.N
Biswas, A
Diro, S
Khechba, K
Sibanda, M
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Authors
Abban-Baidoo, E
Shisanya , C.A
Macharia, A.N
Frimpong, K.A
Marschner, B
Biswas, A
Fu, Y
Taneja, P
Lin, S
Daggupati, P
Vasava, H
Gobezie, T.B
Biswas, A
Misbah, K
Laamrani, A
Chehbouni , A
Dhiba , D
Ezzahar, J
Khechba, K
Diro, S
Sibanda, M
Chinwa, H
Kamutando, C.N
Topics
Precision Nutrient Management
Proximal and Remote Sensing
Policy Support Innovations
Climate Smart Agriculture
Robotics, Automation, and Small Farm Mechanization
Climate Smart Agriculture
Type
Poster
Oral
Year
2020
2022
2024
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Authors

Filter results7 paper(s) found.

1. Biochar and/or Compost for Soil Quality and Maize Yield Improvement in an Acidic Ferralsol Soil in Kenya.

The rapidly increasing global population, climate change and dwindling resources have made it very difficult to meet global food demand. To address the issue of food insecurity, sustainable intensification of agriculture (SIA) has been proposed. However, the consequences of poorly managed agricultural intensification can negatively affect the ecosystem. Biochar and compost application has been widely recommended as a highly promising soil fertility replenishment option to promote sustainable agriculture....

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 variable... A. Biswas, Y. Fu, P. Taneja, S. Lin, P. Daggupati, H. Vasava

3. Just a moment; the need for streamlining precision agriculture data in Africa

Precision agriculture (PA) data sources in the era of digital agriculture are diverse in terms of the range of technology options and the types of data they generate. These include proximal sensors, unmanned aerial vehicle (UAV), satellites, farm machinery mounted sensors and robotics to generate static data or real time information (e.g., yield monitoring). Government institutions, scientists and private sectors take the lion’s share in generating PA data at innovation, validation and dissemination... T.B. Gobezie, A. Biswas

4. QUANTIFICATION OF OPTIMAL FERTILIZERS DEMAND IN WHEAT AND CORN FIELDS IN MOROCCO USING VERY HIGH-RESOLUTION REMOTE SENSED IMAGERY AND HYBRID COMPUTATIONAL APPROACHES

Abstract. Demand on agricultural products is increasing as population continues to grow. Data driven management of macronutrients (i.e., nitrogen (N), phosphorus (P) and potassium (K)) and crops are of critical prominence to get the most out of soil in terms of crop yield while preserving environment. This study aims to establish a quantitative framework for macronutrient (i.e., nitrogen, phosphorus, and potassium) status (i.e., excess, deficiency) for winter wheat (Triticum aestivum... K. Misbah, A. Laamrani, A. Chehbouni , D. Dhiba , J. Ezzahar, K. Khechba

5. The roles of key public services on the adoption of climate-smart agricultural technologies in coffee-based farming system of Ethiopia

Many studies focused on the adoption studies of relatively expensive technologies such as improved varieties, inorganic fertilizers, and agricultural machines. However, limited empirical studies have been conducted on the adoption of improved agricultural practices such as intercropping, manure application, crop rotation with leguminous crops and forages, conservation tillage, and soil and water management practices which are tremendously important for climate change adaptation and mitigation.... S. Diro

6. Detecting the Impact of Hail Damage on Maize Crops in Smallholder Farms Using Unmanned Aerial Vehicles Derived Multispectral Data

Natural disasters such as hailstorms are now frequent and negatively impact smallholder farmers' livelihoods. In these events, there is a need for robust and innovative techniques for monitoring the extent of their damage in smallholder croplands to optimise production. In this regard, this study sought to evaluate the utility of drone-derived multispectral data in estimating crop health elements (i.e., equivalent water thickness (EWT), chlorophyll content, and leaf area index (LAI) of maize... M. Sibanda

7. Predicting the Distribution of Groundnut Phytopathogens Under Current and Future Climatic Scenarios in Zimbabwe

Groundnut (Arachis hypogaea L.) is an important oil crop with immense nutritional and economic benefits, but its productivity in sub-Saharan Africa (SSA) is threatened by a plethora of phytopathogens such as groundnut rosette virus, Alternaria leafspots, early leafspots and peanut rust. In Zimbabwe, ecological niches and epidemiology of these pathogenic microbial strains, particularly under the current and predicted climate change scenarios, are still poorly understood. Yet, this information... H. Chinwa, C.N. Kamutando