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1. MARKET ACCEPTANCE AND WILLINGNESS TO PAY FOR DRONE TECHNOLOGY IN THE APPLICATION OF PESTICIDE FOR THE CONTROL OF FALL ARMYWORMIn Ghana, maize is one of the major staple food crops. Since 2016, it has been plagued by fall armyworm, leaving production capacity below the national average. The introduction of drone technology was to assist farmers to reduce havoc caused by the fall armyworm. The majority of research done in the area of drone technology has focused on the technical and mechanical aspects. This gap gives rise to this study, as the study seeks to; find out the socioeconomic characteristics of maize farmers... S. Omega |
2. A review on Sensor based robotics agriculture: Improving traditional Agriculture PracticesAgribot could be a mechanism designed to reduce the labor of farmers by increasing the speed and accuracy of the work. Elementary functions concerned in farming i.e. plowing the sphere, sowing of seeds and covering the seeds with soil. Agribot is associate degree autonomous mechanism that provides the power for choices for offered techniques. Fruit Picker robots, autonomous tractor&nb... S.C. Karad, G.U. Shinde, P. Kumar |
3. Small Machinery for Sustainable Intensification of Crop-Livestock System under Biomass ShortageSmall crop-livestock systems in Low- and Middle-Income Countries (LMIC) such as North African ones are characterized by low mechanization levels, thus undermining their productivity and sustainability. Machinery being promoted in local markets are made and imported mostly from industrial countries where farm systems are larger in terms of size. Prices of these machines are not affordable for small to medium sized land-holding farmers who remain incapable of upgrading and modernizing their far... U. Rudiger, Z. Aidoudi, A. Frija, M. Rekik, A. Zaiem, H. Cheikh |
4. LiDAR-based soybean crop segmentation for autonomous navigationThe technological advances in the last few decades have greatly changed agricultural operations. In order to became safer, more profitable, efficient, and sustainable, modern farms have adopted the use of sophisticated technologies, such as robots, sensors, aerial images, and GNSS (Global Navigation Satellite System). These technologies not only increase the crop productivity, but also reduce the wide use of water, fertilisers, and pesticides. Due to this, they reduce costs and negative envir... V.A. Higuti, A.E. Velasquez, M.V. Gasparino, D.V. Magalhães, M. Becker, D.M. Milori, R.V. Aroca |
5. Predicting of Canopy Nitrogen Content Based on UAVs and Satellites Data Fusion in Citrus OrchardsNitrogen (N) is often regarded as the most critical nutrient and the growth-limiting factor in soil for plant growth and often needs to be supplemented by N-fertilization to minimize yield loss. However, the over-application of N fertilizers may cause nutrient imbalance and contribute to groundwater contamination by nitrate (NO3-) leaching and NOx air pollution. Today the evaluation of plant nutritional status (including ... A. Dagan |
6. The effectiveness of Neem materials and biochar as nitrification inhibitors in reducing nitrate leaching in a compost-amended Ferric LuvisolNitrate produced after mineralization from compost may be prone to leaching especially in Tropical sandy soils, because of increased rate of nitrification and the porous nature of such soils. This may result in low N use efficiency and adverse environmental effects. Inorganic nitrification inhibitors are costly and mostly unavailable in Ghana. The use of simple but effective local materials as nitrification inhibitors is therefore a priority area of research. Two of such materials may be neem... H. Abeka |
7. Effect of Using Different Formulations of Fertilizers on Stomatal Conductance, Leaf Chlorophyll Fluorescence, Growth and Yield of Table Grapes Crops Grown in the Northeast of MoroccoTable grapes (Vitis vinefera) present an important crop production in Morocco. The practice of tree fertilization is based on nitrogen, phosphorus, potassium, calcium, magnesium and micronutrients. Previous research demonstrated that using mixed fertilizers with microelements, organic matter and amino acid 4-5 times during the phonological stage improved growth and yield of different crops. The objective of a trial conducted in the region of “El GARET” on a production of ... A. Essaihe , K. Aberkani |
8. Mapping the Spatial Variability, Status and Magnitude of Soil Acidity in Semen Ari District of South Omo, Southwestern EthiopiaSoil acidity is one of the major constraints to cropping systems in the vast highlands of Ethiopia. A common strategy for ameliorating soil acidity is the application of agricultural lime. However, formulation of measurement strategy was hampered by the lack of information on magnitude, extent and status of soil acidity and, high resolution soil acidity map. Therefore, this study was investigated to assess the magnitude and status of soil acidity, map its spatial variability in ... A.H. Hemacho |
9. Fighting Food, Fertilizer, and the Climate Crisis in Africa Through Targeted Nitrogen ManagementFood insecurity is a major challenge in Africa which is likely to worsen in the future unless food production in the region is substantially increased to keep up with the food demand of the increasing population. A sufficient amount of nitrogen (N) fertilizer is required for increasing crop yield as N helps convert solar radiation into carbohydrates that drive plant growth. However, smallholder producers in Africa use a small quantity of fertilizer N not sufficient for plant needs resul... T. Sapkota, N. Cheerakkollil konath, R. Takele, S. Snapp |
10. A Suitability Approach for Land Assessment of New Reclamation Areas Using GeomaticsThe study aims to develop a system to assess land suitability for agriculture use in the Arid Western Fringes of the Nile Delta. This is based on the fact that the selection of optimal sites for agricultural use is a prerequisite for productive operation and economic feasibility. This is especially true in arid regions due to the scarcity of such suitable land. New approach was implemented to use environmental and terrestrial factors; i.e., criteria of soil characteristics, climate and salini... A.M. saleh, S.M. Arafat, M.A. Abdelrahman |
11. Improving Phosphorus Use Efficiency by Chickpea Crop Using Electromagnetic Induction, Soil Properties, and Crop Yield Data Under Semi-arid ConditionsUnder arid and semi-arid conditions, the agricultural sector faces many challenges related to the use of water and mineral resources for crop production and food security for an exponentially growing population. The impact of climate changes on water resources availability and soil quality is more and more emphasized under the Mediterranean basin, mostly characterized by drought and extreme weather conditions. The present study aims to investigate how electromagnetic induction technique and s... M. Chtouki, A. Oukarroum, F. Nguyen |
12. Assessment of Nitrogen and Phosphorus Content (NP) in Citrus Trees Using UAV-imagery Derived Vegetation Indices and Machine Learning AlgorithmsMonitoring nutrient status of citrus trees is fundamental to ensure optimum fruit yield and quality. However, this task is traditionally time-consuming and laborious. Unmanned Aerial Vehicles (UAVs), with their high temporal and spatial resolution imagery, are demonstrating a great potential to substitute traditional methods in assessing nutrient status of several crops, including citrus. In this study, we evaluated the performance of vegetation indices (VIs) derived from UAV multispectral im... Z. Abail, H. Benaouda, M. Chikhaoui, H. Benyahia, O. Iben halima, M. Baraka, A. Douaik, H. Iaaich, A. Zouahri, F. Omari |
13. Chlorophyll Meter Based Precision Nitrogen Management in Maize Grown in Alluvial Soil in EgyptPrecision nitrogen (N) management is essential for profitable crop production and to minimize N losses to the environment that are a consequence of an excessive N supply. Chlorophyll meter-based N management can help to achieve high N use efficiency, as aquick and non-destructive spectral characteristics of leaves, which can be used to diagnose plant N deficiency and graduate N fertilization with improve N use efficiency. Field experiments were conducted during two consecutive years, 2019 and... A. Soaud, S. Abou-zeid , A. Ali, D. Hassan |
14. Self-developed Small Robot for Tomato Plants DetectionA mobile (robot) measuring station for tomato plant detection has been developed, equipped with different sensors and a self-developed hardware and software background. The development aims are the applications in precision crop production: artificial intelligence- based detection, imaging, data collection, automation, and remote sensing. The robot is fault- free in field conditions and is therefore a key development tool for precision farming and digital agriculture. The measurement system d... B. Ambrus, G. Teschner, M. Neményi, A. Nyéki |
15. Effect of Different Combinations of N, P and K Nutrients on Growth, Yield and Fibre Quality of Cotton (Gossypium Hirsutum L.)Cotton has high requirements for nitrogen (N) phosphorus (P) and potassium (K), and the nutrients interact differently on yield and quality of this crop. This necessitates the precise combination of these nutrients to maximize yield and quality. Two cotton varieties (Bt cotton and a conventionally bred variety, HART 89M) were assessed for growth, yield and quality under different nutrient combinations in two contrasting environments in semi-arid Kenya. Nutrient combinations were NPK... E.W. Maina, E.W. Maina |
16. Precision Maize Nutrition: Evidences from On-farm Experimentation of Quefts Estimated Nutrient Requirement for Variable Densities in Smallholder Farmers in EthiopiaQuantitative Evaluation of the Fertility of Tropical Soils (QUEFTS) model is an important tool for estimating optimal nutrient requirement of crops. The study was conducted to evaluate QUEFTS estimated (QE) nutrient requirement of maize in two pant densities (32,443 and 53,333 plants/ha in Central Rift Valley (CRV); 27724 and 62,000 plants/ha in Jimma) on fields of three farmers wealth classes (poor, medium and wealth) in contrasting agro-ecologies of Ethiopia. QUEFTS follows a target oriente... W.B. Kenea, T.B. Tura, A.N. Woldekristos |
17. Development of a Decision Support Tool to Derive Site-specific Nutrient Management Recommendations for Maize Production Using Machine LearningAgriculture is the main source of food and income for rural communities in developing countries, especially in Africa. Given current population growth, pressures on agricultural systems will continue to increase. Many countries have agricultural economies that are highly dependent on agricultural productivity. For example, several variables can influence fertilization for optimal grain yields. Quantifying the effects and relative importance of soil properties such as soil type, pH, Olsen-P, c... O. Ennaji, L. Vergutz, A. El allali |
18. Comparative Assesement of Interpolation Techniques in Predicting Soil Properties on a Sloping Pasture Land Under Fallow in a Ferralsol in UgandaSoil variability is a major challenge in application of mineral fertilizers in Sub-Saharan Africa (SSA). Use of soil fertility maps can effectively guide the use of mineral or organic fertilizers or fertilizers. Interpolation techniques are widely used in the formulation of these fertility maps. The precision of spatial interpolation techniques for predicting unmeasured values have been reported by various researchers but there are cconflicting findings regarding the relative performance of t... J.M. Menya, P. Musinguzi, J.M. Mwanjalolo |
19. Use of Earth Observation Imagery, Advanced Modelling Algorithms and Other Monitoring Systems to Produce Operational Agricultural Annual Crop Inventories for Morocco.African farmers are facing the challenges of a changing climate, increased temperatures, changes in rainfall patterns, more frequent extreme weather events and reductions in water availability. The digital transformation of the agricultural sector is one of the opportunities that can promote good practices of the African agricultural through the sharing of information and tools for decision-making, thereby, boost economic growth of our African country. The shift to digital technologies ... M. Choukri, A. Laamrani , V. simonneaux , B. Gerard , S. Belaqziz, A. Chehbouni, K. Misbah, H. Mcnairn |
20. Potentials of Unmanned Aerial Vehicles (UAVs) for the Nigerian AgricultureThe continuous development of technology is driving the invention of new machineries such as the Unmanned Aerial Vehicles (UAVs), also known as “drones”. The UAVs have become much more popular within the last decade for its significant roles in agriculture among other industries, yet their applications in Nigeria are yet to be appreciated. Therefore, the present study reviewed the characteristics and multiple uses of UAVs in agriculture and their potentials for the Niger... M. Kabir, S. Ekici |
21. Rice Production System and Major Nutrients Balance Assessment in Rice Cropping in the Irrigated Perimeter of the Zio ValleyKnowledge of cropping systems and farming practices are essential towards improving crop yields. This study aims to characterize rice production systems, analyse fertilization practices and assess the impact of irrigated rice on the balance of major nutrients in Zio valley. The characterization of production systems and fertilization practices were carried out through a survey of a sample of 192 randomly selected producers, i.e. 34% of the total number of farmers in the four (4) villages of t... A. N'gbendema, M.J. Sogbedji, M. Mazinagou |
22. Nitrogen Use Efficiency of Barley Grown Under Organic Amendments and N Fertilizer on Acidic Soils of a Highland Tropical EnvironmentSoil nutrient depletion and low nutrient use efficiency are among pressing issues for the productivity of crops in Sub-Saharan Africa. Efficient use of nitrogen (N) for crop production in low-input subsistence farming may improve yields and quality, reduce cost and risk in case of crop failure. The effects of organic amendments and N fertilizer on the N-uptake and N-use efficiency of barley were investigated in the central Ethiopian highlands. The treatments were factorial combinations of no ... G. Agegnehu |
23. The Global Crop Nutrient Removal Database (Gcnrd): Development, Initial Analysis and Identification of Current Data GapsImproved understanding of the factors affecting nutrient uptake can enable production optimization, increased nutrient use efficiencies, reduced environmental footprints, and overall higher economic returns for farmers. Crop uptake is affected by genetics, soil, weather, agronomic practices, and their interactions. As such, understanding the way crop nutrient uptake varies across different regions and production environments requires the coverage of various parameters, and necessitates collab... C. Ludemann, A. Dobermann, N. Graff, S. Sela, M. Van loon, R. Hijbeek, M. Van ittersum |
24. Field Performance of Common Bean (Phaseolus Vulgaris L) Under Mycorrhizal Inoculation and Phosphorus Level Application in Kashusha, Eastern DrcThe positive effects of arbuscular mycorrhizal fungi (AMF) on yield and phosphorus uptake have already been widely studied. However, the response of common bean (Phaseolus vulgaris L) to mycorrhizal inoculation and phosphorus supply is still poorly documented in South Kivu where the use of fungal biofertilizers is not yet tested. This study was initiated to determine the effect of mycorrhizal inoculation and increasing doses of phosphorus on common bean performance in South Kivu. The study wa... A.B. Ndeko, G.B. Chuma, J.M. Mondo, B.N. Nabintu, G.N. Mushagalusa |
25. Rhizobial Symbionts of Kersting's Groundnut: Insights into Their Biodiversity in African Soils and Potential Utilization As Inoculants in Sustainable Agriculture... M. Mohammed |
26. Detecting the Impact of Hail Damage on Maize Crops in Smallholder Farms Using Unmanned Aerial Vehicles Derived Multispectral DataNatural 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 ma... M. Sibanda |
27. The Future of Farming: Bringing Biophotonics and Machine Learning to Revolutionize AgricultureThe future of farming is set to be revolutionized by biophotonics and machine learning. Biophotonics is the study of the interaction of light and living matter, and machine learning is a form of artificial intelligence that allows computers to learn from data. Together, these two technologies will allow for more precise and efficient farming, as well as greater yields and less wastage. Biophotonics will allow for more precise targeting of crops with pesticides and herbicides, as well as more ... S. Ndlovu |
28. Assessment of Access to and Utilisation of Treadle and Hip Pump Technology by Farmers in Machakos County, KenyaMany climate-innovative agriculture practices can be used for climate mitigation and adaptation since farmers already feel the effects of climate change in their agricultural production. The broad range of climate-smart agriculture technologies requires a gender-responsive assessment in design and dissemination to enable access and utilization among its intended users. Women and youth farmers in developing countries have always been disadvantaged in access and utilization of agriculture techn... T. Gitau |
29. Predicting the Distribution of Groundnut Phytopathogens Under Current and Future Climatic Scenarios in ZimbabweGroundnut (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 inf... H. Chinwa, C.N. Kamutando |