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1. Just a moment; the need for streamlining precision agriculture data in AfricaPrecision 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 ... T.B. Gobezie, A. Biswas |
2. Position of Climate Change and Desertification Issues on the Livelihoods of Indigenous Communities of Africa: Case Study of the Sahel Region and the Horn of AfricaThis Sahel environment stretches all the way from Senegal to Somalia cutting across over ten Africa countries bordering the " Sahara desert" in the north and the "Sudan savannah" in the south, with an annual rainfall of less than 50cm per annum, with good agricultural output (production) as well as large grazing fields for pastoral activities is a home for so many indigenous communities like the Mbororo (Cameroon and Chad), Tuareg (Niger) and the Kanuris (Nigeria, Niger, C... B. Abubakar |
3. Water Application Efficiency of an Ultisol in Response to Climate Change in Two Agroecological Zones of NigeriaIrrigation and fertilizer application are management practices farmers have adopted to increase food production for the growing population. This has improved crop nutrient absorption and the efficiency of fertilizer applied to the soil. This is essential to reduce plant water stress in a climate changing environment. This study investigated and compared water application efficiency under manual sprinkler irrigation with capillary irrigation method on ultisols located in rainforest and derived... I.A. Egbebi, D.J. Oyedele, F.O. Tijani, O.E. Egbebi |
4. A Time Series Investigation to Assess Climate Change and Anthropogenic Impacts on the Degradation of Nile Delta, Egypt.Land degradation risk, status and rate in Nile Delta, Egypt were assessed for a time series using remote sensing data over the past five decades using TM, ETM and OLI. Quantitative deterioration of the area was produced based on the comparative study approach in the integrated weighted sum, weighted overlay and fuzzy model. Where degradation factors were compiled in a raster and each data set scored on a 1 to 5 (very low, low, moderate, high and very high scale). The data sets were then weigh... B. Abdellatif, M.R. Metwalli, M.M. Metwaly, M.A. Abdelrahman |
5. 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 |
6. Evolving Potentials for Precision Climate-smart Agriculture in Sub-saharan African CountriesProgressively, there is increasing awareness on the significance of agriculture in both adaptation and mitigation to climate change. While adaptation has been typically highlighted in the most vulnerable countries, especially in Africa where the failure to adapt have been noted to exacerbate the dangers of food insecurity, there is limited effort at emphasizing mitigation as the ultimate resolution of the debacle. Climate-smart agriculture (CSA) is critical to achieving development irrespecti... M.G. Ogunnaike, O.D. Onafeso |
7. Manipulation of Row Spacing Did Not Affect Growth and Yield of Chia in Two Contrasting Environments in KenyaSustainability of agricultural production relies on a good management strategy in crop production. Optimal spacing is one of the major crop management systems in chia production required to increase yield and quality of chia seed. In this regard, this study explored the potential of different row spacing on the growth and yield of chia in Kenya. Two experiments comprising three spacing arrangements of 30 cm x 10 cm, 60 cm x 10 cm and 90 cmx 10 cm were carried out in Kabete and Nyeri in a rand... A.W. Muturi, A. Wanjiku muturi, A. Wanjiku muturi |
8. 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 |
9. Effects of Legume Break Crops on Yield, Nitrogen Use Efficiency and Economy of Maize Production in Western Oromia, Ethiopia: a ReviewProlonged monocropping of maize lacking appropriate soil fertility management is affecting soil fertility and maize production in Western Oromia. The use of legume break crops improved performance of subsequent maize. The biological N2-fixation of legumes as precursor crops reduced the amount of nitrogen fertilizer applied to maize. Higher mean grain yield of maize was obtained following faba bean without and with rhizobia inoculation than maize after maize. The total nitrogen uptake of diffe... T.A. Goshu, T.A. Goshu, T.A. Goshu |
10. 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 |
11. 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 |