Research ArticleOpen accessIn the abstractCalibration and Simultaneous Monitoring of Soil Water Content and Salinity with Capacitance and Four-electrode ProbesTadaomi Saito, Haruyuki Fujimaki, Mitsuhiro InoueNon-destructive monitoring of soil water content (W) and the electrical conductivity of the soil solution (ECw) has been desired for environmental evaluation and sustainable agriculture. Dielectric probes and four-electrode probes are widely used for the non-destructive determination of W and the soil bulk electrical conductivity (ECb), respectively. Since the output of dielectric probes is affected by soil salinity, the calibration … …American Journal of Environmental Sciences, Vol. 4, Issue 6 · 31 Dec 2008 · 7,918 accessesView PDFCite
Research ArticleOpen accessIn the abstractRising Food Insecurity: Dimensions in Farm HouseholdsOkezie Chukwukere Austin, Aloysius Chidi Nwosu, Amir Hussin BaharuddinProblem statement: Nigeria runs the risk of slowing further progress toward the achievement of MDG-1 to eradicate extreme hunger and poverty; the fourth goal, to reduce child mortality since over 30% of child deaths are attributable to malnutrition and the fifth goal relating to reduction in maternal mortality. This study evaluated the manifestation of food insecurity in households in Abia … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 3 · 16 Aug 2011 · 8,089 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordA Systematic Review of Artificial Intelligence and Deep Learning Approaches for Cocoa Pod Disease DetectionHenry Techie-Menson, Michael Asante, Yaw Marfo Missah et al.Cocoa pod diseases destroy an estimated 700,000 metric tons of cocoa annually, threatening 40–50 million smallholder farmers across tropical regions. Accurate field diagnosis remains constrained by symptom similarity, labour-intensive scouting, and limited specialist access in remote communities. This paper presents a PRISMA-guided systematic review of 25 peer-reviewed studies on automated cocoa pod disease detection and classification (2016–2026), addressing architectural approaches, … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 733 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordBenchmarking Lightweight Deep Learning Models for Field Based Sorghum Leaf Disease DetectionPrince Daughin Ngqabutho NcubeSorghum is a climate-resilient cereal crop central to food and livelihood security across Southern Africa, yet its productivity is frequently reduced by foliar diseases that smallholder farmers struggle to diagnose reliably in the field. While deep learning has demonstrated strong potential for automated plant disease identification, sorghum remains underrepresented in the literature, and no prior study has provided a comprehensive, … …Journal of Computer Science, Vol. 22, Issue 10 · 29 Sep 2026 · 535 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordLeveraging Artificial Intelligence and Other 4IR Technologies for Driving Education 4.0 in South Africa: A Scoping StudyEmmanuel Adetiba et al.The advent of the fourth Industrial Revolution (4IR) has impacted human life across many disciplines including healthcare, agriculture, telecommunication, manufacturing, education etc. It is characterized by cyber physical systems thus enabling automation of processes, in which devices can autonomously communicate. Some of the technologies that drive 4IR include Artificial Intelligence (AI), Internet of Things (IoT), big data, drone technology, robotics … …Journal of Computer Science, Vol. 22, Issue 7 · 9 Jul 2026 · 1,675 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordImplementation and Performance Evaluation of YOLOv8 for Wheat Fungal Disease DetectionShivani Sood, Shallu Duggal, Monika Sethi et al.Among the many difficulties in producing wheat, a vital food source for the world, there are biotic variables like fungal diseases, which drastically lower crop output. Around the world, biotrophic fungi particularly, leaf rust, powdery mildew, and yellow rusts-have become a constant threat to wheat production. Traditional methods of identification and mitigation are labor-intensive, slow, and imprecise, limiting therefore early … …Journal of Computer Science, Vol. 22, Issue 4 · 2 May 2026 · 1,599 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordWater Contamination in Livestock Production: Impacts, Causes, and Mitigation StrategiesMarothi Vincent Sebela, Khetho Ratshilumela NemutandaniWater contamination poses a significant threat to sustainable livestock production, directly affecting animal health, productivity, and product safety. This systematic review synthesizes existing literature on the impacts, causes, and mitigation strategies of water contamination in livestock production systems. A systematic literature search was conducted across Google Scholar, PubMed, and ScienceDirect databases using key terms including "water contamination," "livestock," and "water … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 4 · 17 Feb 2026 · 1,962 accessesView PDFCite