@article{fdi:010084556,
  title = {{M}onitoring and analyzing yield gap in {A}frica through soil attribute best management using remote sensing approaches : a review},
  author = {{K}hechba, {K}. and {L}aamrani, {A}. and {D}hiba, {D}. and {M}isbah, {K}. and {C}hehbouni, {A}bdelghani},
  editor = {},
  language = {{ENG}},
  abstract = {{A}frica has the largest population growth rate in the world and an agricultural system characterized by the predominance of smallholder farmers. {I}mproving food security in {A}frica will require a good understanding of farming systems yields as well as reducing yield gaps (i.e., the difference between potential yield and actual farmer yield). {T}o this end, crop yield gap practices in {A}frican countries need to be understood to fill this gap while decreasing the environmental impacts of agricultural systems. {F}or instance, the variability of yields has been demonstrated to be strongly controlled by soil fertilizer use, irrigation management, soil attribute, and the climate. {C}onsequently, the quantitative assessment and mapping information of soil attributes such as nitrogen ({N}), phosphorus ({P}), potassium ({K}), soil organic carbon ({SOC}), moisture content ({MC}), and soil texture (i.e., clay, sand and silt contents) on the ground are essential to potentially reducing the yield gap. {H}owever, to assess, measure, and monitor these soil yield-related parameters in the field, there is a need for rapid, accurate, and inexpensive methods. {R}ecent advances in remote sensing technologies and high computational performances offer a unique opportunity to implement cost-effective spatiotemporal methods for estimating crop yield with important levels of scalability. {H}owever, researchers and scientists in {A}frica are not taking advantage of the opportunity of increasingly available geospatial remote sensing technologies and data for yield studies. {T}he objectives of this report are to (i) conduct a review of scientific literature on the current status of {A}frican yield gap analysis research and their variation in regard to soil properties management by using remote sensing techniques; (ii) review and describe optimal yield practices in {A}frica; and (iii) identify gaps and limitations to higher yields in {A}frican smallholder farms and propose possible improvements. {O}ur literature reviewed 80 publications and covered a period of 22 years (1998-2020) over many selected {A}frican countries with a potential yield improvement. {O}ur results found that (i) the number of agriculture yield-focused remote sensing studies has gradually increased, with the largest proportion of studies published during the last 15 years; (ii) most studies were conducted exclusively using multispectral {L}andsat and {S}entinel sensors; and (iii) over the past decade, hyperspectral imagery has contributed to a better understanding of yield gap analysis compared to multispectral imagery; (iv) soil nutrients (i.e., {NPK}) are not the main factor influencing the studied crop productivity in {A}frica, whereas clay, {SOC}, and soil p{H} were the most examined soil properties in prior papers.},
  keywords = {actual yield ; agriculture ; data analysis ; hyperspectral ; multispectral ; potential yield ; {MAROC} ; {SENEGAL} ; {TUNISIE} ; {COTE} {D}'{IVOIRE} ; {KENYA} ; {AFRIQUE} {DU} {SUD} ; {ETHIOPIE} ; {CAMEROUN} ; {BURKINA} {FASO} ; {TANZANIE} ; {RWANDA} ; {GHANA}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {13},
  numero = {22},
  pages = {4602 [19 p.]},
  year = {2021},
  DOI = {10.3390/rs13224602},
  URL = {https://www.documentation.ird.fr/hor/fdi:010084556},
}