Leveraging Cycle Breeze's DALP Agriculture Data Software: Bridging FAO Soil Data with Commercial Farms in Sub-Saharan Africa to Boost Agricultural Productivity

References

[1] Bationo, A., Ngaradoum, D., Youl, S., Lompo, F., &Fening, J. O. (2018). Improving soil fertility through the use of organic and inorganic plant nutrition in West Africa. Agronomy, 8(5), 76.

[2] Bationo, A., Kihara, J., Barrios, E., Kimetu, J., Nziguheba, G., Waswa, B., Mukalama, J., & Bationo, A. (2016). Maize yield response to application of acidulated and bio-augmented biochar in western Kenya. Agronomy, 6(1), 16.

[3] Giller, K. E., Delaune, T., Vasanth, I. K., Sudha, N., Seshachalam, S., Singh, S., ... &Sahrawat, K. L. (2021). Biological nitrification inhibition by Brachiaria grasses: A fascinating ecological mechanism with huge potential for agriculture. Global Food Security, 29, 100540.

[4] Kihara, J., Bationo, A., Waswa, B., Kimetu, J. M., Vanlauwe, B., Okeyo, J., ... & Martius, C. (2015). Effect of reduced tillage and mineral fertilizer application on maize and soybean productivity. Experimental Agriculture, 51(2), 159-181.

[5] Kihara, J., Nziguheba, G., Zingore, S., Coulibaly, A., Esilaba, A., Kabambe, V., ... &Huising, J. (2016). Understanding variability in crop response to fertilizer and amendments in sub-Saharan Africa. Agriculture, Ecosystems & Environment, 229, 1-12.

[6] Kihara, J., Woomer, P. L., Bekunda, M., Mukalama, J., & Musana, B. (2020). Soil health and crop performance after 15 years of organic and inorganic nutrient inputs in Uganda. Nutrient Cycling in Agroecosystems, 116(1), 1-18.

[7] Ronner, E., Franke, A. C., Vanlauwe, B., Dianda, M., Edeh, E., Ukem, B., ... & Giller, K. E. (2016). Understanding variability in soybean yield and response to P-fertilizer and Rhizobium inoculants on farmers’ fields in northern Nigeria. Field Crops Research, 186, 133-145.

[8] Sakané, N., Alvarez, G., Becker, M., Böhme, B., Handa, C., Kamiri, H. W., ... & Ouma, E. (2013). Classification, characterisation, and use of smallholder farm and field typologies for crop production interventions in East and Southern Africa. Land, 2(3), 309-326.

[9] Vanlauwe, B., Hungria, M., Kanampiu, F., & Giller, K. E. (2019). The role of legumes in the sustainable intensification of African smallholder agriculture: Lessons learnt and challenges for the future. Agriculture, Ecosystems & Environment, 284, 106583.

[10] Wortmann, C. S., & Sones, K. (2017). Fertilizer use optimization in sub‐Saharan Africa. Nutrient Digest, 75(4).

@article{1705179,
      author = {CycleBreeze},
      title = {Leveraging Cycle Breeze's DALP Agriculture Data Software: Bridging FAO Soil Data with Commercial Farms in Sub-Saharan Africa to Boost Agricultural Productivity},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {7},
      number = {5},
      pages = {63-70},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1705179.pdf},
      abstract = {Low soil fertility constrains agricultural productivity across sub-Saharan Africa. This study examines relationships between soil properties, geography, farm management, technology adoption, and productivity using correlation analysis on data from 300 smallholder farms. The aim is to elucidate complex interactions to guide integrated soil fertility management (ISFM) strategies. Results reveal noteworthy correlations between variables related to soils, location, practices, technology, policy, weather, yields, and economics. Negative associations exist between soil characteristics and analysis; location and practices; practices and technology investment; economic performance and government policies; and weather and soil health. Farm size correlates positively with adoption of recommendations. While correlations do not prove causation, findings provide insights to inform ISFM optimization through emerging digital advisory tools that link site-specific soil data to personalized guidance. This systems analysis highlights opportunities for sustainable intensification via customized nutrient management.},
      keywords = {Soil fertility, Integrated management, Smallholder farms, Digital agriculture, Correlation analysis},
      month = {November},
  }