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1. Leveraging Precision Agriculture Education for Resilient and Sustainable Agriculture in Sub-saharan AfricaImproved agricultural productivity and access to safe and nutritious food is critical to meeting south Saharan Africa (SSA)’s growing food demand and for improving incomes for smallholders in the region. This has to be done in ways that do not compromise natural capital but secure ecosystem functions and services. With almost 60 percent of the region’s population under the age of 25, Precision Agriculture (PA) education for SSA youth is crucial. PA offers the potential to transfor... K.A. Frimpong |
2. 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 |
3. 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 |
4. 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 |
5. 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 |