{"id":256,"date":"2024-07-15T05:41:48","date_gmt":"2024-07-15T05:41:48","guid":{"rendered":"https:\/\/www.futureafrica.science\/farleaf\/?p=256"},"modified":"2024-07-15T05:42:44","modified_gmt":"2024-07-15T05:42:44","slug":"dr-anna-msigwa","status":"publish","type":"post","link":"https:\/\/www.futureafrica.science\/farleaf\/far-leaf-profiles\/dr-anna-msigwa\/","title":{"rendered":"Dr Anna Msigwa"},"content":{"rendered":"\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-av_section-81cba3fe9780cbbde7ac81417f4b72a1\">\n.avia-section.av-av_section-81cba3fe9780cbbde7ac81417f4b72a1{\nbackground-repeat:no-repeat;\nbackground-image:url(https:\/\/www.futureafrica.science\/farleaf\/wp-content\/uploads\/sites\/3\/2024\/07\/content-banner.jpg);\nbackground-position:50% 50%;\nbackground-attachment:scroll;\n}\n.avia-section.av-av_section-81cba3fe9780cbbde7ac81417f4b72a1 .av-section-color-overlay{\nopacity:0.5;\nbackground-color:#000000;\n}\n<\/style>\n<div 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id=\"style-css-av-av_section-e4a865481a2068a50ab1b4a6c9d82b91\">\n.avia-section.av-av_section-e4a865481a2068a50ab1b4a6c9d82b91{\nbackground-color:#ffffff;\nbackground-image:unset;\n}\n<\/style>\n<div id='av_section_2'  class='avia-section av-av_section-e4a865481a2068a50ab1b4a6c9d82b91 main_color avia-section-small avia-no-border-styling  avia-builder-el-2  el_after_av_section  el_before_av_layout_row  avia-bg-style-scroll container_wrap fullsize'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-256'><div class='entry-content-wrapper clearfix'>\n<div  class='flex_column av-av_one_full-724e29f1d72ca26394d8119dc5adb5f9 av_one_full  avia-builder-el-3  avia-builder-el-no-sibling  first flex_column_div av-animated-generic left-to-right  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lymk0oun-d6effacd5a73699c5f33835cc20a73d5\">\n#top .av-special-heading.av-lymk0oun-d6effacd5a73699c5f33835cc20a73d5{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-lymk0oun-d6effacd5a73699c5f33835cc20a73d5 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-lymk0oun-d6effacd5a73699c5f33835cc20a73d5 .av-subheading{\nfont-size:15px;\n}\n\n@media only screen and (min-width: 480px) and (max-width: 767px){ \n#top #wrap_all .av-special-heading.av-lymk0oun-d6effacd5a73699c5f33835cc20a73d5 .av-special-heading-tag{\nfont-size:20px;\n}\n}\n\n@media only screen and (max-width: 479px){ \n#top #wrap_all .av-special-heading.av-lymk0oun-d6effacd5a73699c5f33835cc20a73d5 .av-special-heading-tag{\nfont-size:20px;\n}\n}\n<\/style>\n<div  class='av-special-heading av-lymk0oun-d6effacd5a73699c5f33835cc20a73d5 av-special-heading-h2 blockquote modern-quote  avia-builder-el-4  avia-builder-el-no-sibling '><h2 class='av-special-heading-tag '  itemprop=\"headline\"  >Remote Sensing and Machine Learning in Water Stress Detection, With an Emphasis on Applications in Maize Farming<\/h2><div class='av-subheading av-subheading_below'><p>DR ANNA MSIGWA<\/p>\n<\/div><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div><\/div><\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av-layout-grid-1'  class='av-layout-grid-container av-av_layout_row-1c531bd9ce3865591f89f1b08c9e3200 entry-content-wrapper main_color av-flex-cells  avia-builder-el-5  el_after_av_section  el_before_av_postcontent  container grid-row-not-first  container_wrap fullsize'  >\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-av_cell_one_half-0778e7d338433c1d9d2a4436509fcc48\">\n.flex_cell.av-av_cell_one_half-0778e7d338433c1d9d2a4436509fcc48{\nvertical-align:top;\nbackground-color:#f8f8f8;\n}\n<\/style>\n<div class='flex_cell av-av_cell_one_half-0778e7d338433c1d9d2a4436509fcc48 av-gridrow-cell av_one_half no_margin  avia-builder-el-6  el_before_av_cell_one_half  avia-builder-el-first  content-align-top'  ><div class='flex_cell_inner'><div  class='flex_column av-av_one_full-724e29f1d72ca26394d8119dc5adb5f9 av_one_full  avia-builder-el-7  avia-builder-el-no-sibling  first flex_column_div av-animated-generic left-to-right  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lymk0ze2-db1359a745189ee76b9aace5cdd5633f\">\n#top .av_textblock_section.av-lymk0ze2-db1359a745189ee76b9aace5cdd5633f .avia_textblock{\ntext-align:justify;\n}\n<\/style>\n<section  class='av_textblock_section av-lymk0ze2-db1359a745189ee76b9aace5cdd5633f '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><p>Agriculture represents almost 30% of Tanzania\u2019s GDP, with three-quarters of the country\u2019s workforce involved. Yet productivity is low, with modest progress over the past two decades. The productivity of major crops such as maize and wheat will decline. Post-harvest losses, below-average rainfall, pests and high input prices are expected in 2022\/2023. With a projected population growth of some 69.7 million people by 2050, the anticipated doubling of food demand cannot yet be met.<\/p>\n<p>At grassroots level, farmers have bought into research, implementing terraces for water and soil conservation. Dr Anna Msigwa studies the efficient use of water for agriculture in the Pangani Basin in Tanzania by incorporating seasonal land-use dynamics into water analysis models. Her unique approach has already been used to study agricultural water uses across Africa and by PhD students at Vrije Universiteit Brussel in Belgium.<\/p>\n<p>To successfully reduce water usage, the early detection and monitoring of plant responses to stress in crops are mandatory. Remote sensing will produce the necessary data for precision agriculture. This, in turn, promises to close the yield gap by optimising food production using the proper management practices (at the right place and time) while keeping the consumption of resources at an environmentally sustainable level. This balance will benefit ecosystems and human well-being, and enhancing the agricultural sector\u2019s outputs while enhancing nutrition and improving health.<\/p>\n<p>Dr Msigwa will develop a machine learning-based crop water stress mapping system. The system will make use of thermal infrared multi-\/hyperspectral remote sensing images to collect ground data. The Kikuletwa catchment area (about 6 077km2) is within nine districts in the Arusha, Manyara and Kilimanjaro regions. To monitor the water stress status of maize in-field, stem water potential (SWP) measurements will be captured using a customised pressure chamber. The SWP values will indicate whether crops are water-stressed \u2013 and targeted for irrigation.<\/p>\n<\/div><\/section><\/div>\n<\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-av_cell_one_half-0778e7d338433c1d9d2a4436509fcc48\">\n.flex_cell.av-av_cell_one_half-0778e7d338433c1d9d2a4436509fcc48{\nvertical-align:top;\nbackground-color:#f8f8f8;\n}\n<\/style>\n<div class='flex_cell av-av_cell_one_half-0778e7d338433c1d9d2a4436509fcc48 av-gridrow-cell av_one_half no_margin  avia-builder-el-9  el_after_av_cell_one_half  avia-builder-el-last  content-align-top'  ><div class='flex_cell_inner'><p><div  class='flex_column av-av_one_full-724e29f1d72ca26394d8119dc5adb5f9 av_one_full  avia-builder-el-10  el_before_av_three_fifth  avia-builder-el-first  first flex_column_div av-animated-generic left-to-right  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lymk14pa-79b9284bcd5b688005e87e2779c3ccdf\">\n#top .av_textblock_section.av-lymk14pa-79b9284bcd5b688005e87e2779c3ccdf .avia_textblock{\ntext-align:justify;\n}\n<\/style>\n<section  class='av_textblock_section av-lymk14pa-79b9284bcd5b688005e87e2779c3ccdf '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><p>The project works closely with OIKOS, a Tanzanian NGO that promotes the protection of biodiversity and the sustainable use of natural resources as tools in the fight against climate change. The NGO will help communicate with farmers involved in the project. The research will lead to an application for water stress detection with results mapping an overview of management practices, soil types and characteristics, and up-to-date spatial and temporal climate variability in the catchment.<\/p>\n<p><strong><small>Dr Anna Msigwa is a lecturer in the Department of Water Environmental Sciences and Engineering at the Nelson Mandela African Institution of Science and Technology (NM-AIST), Tanzania. She holds a PhD in Engineering Sciences from Vrije Universiteit Brussel, Belgium, a master\u2019s degree in Hydrology and Water Resources Engineering from NM-AIST and a bachelor\u2019s degree in Environmental Engineering from Ardhi University, Tanzania. Dr Msigwa is a hydrologist and water management expert who researches water resource management in Africa and climate-smart agricultural water management strategies using remote sensing technologies.<\/small><\/strong><\/p>\n<\/div><\/section><\/div><div class='flex_column_table av-av_three_fifth-b40918d7eb29fabc4ed6d787f2e092d0 sc-av_three_fifth av-break-at-tablet-flextable av-equal-height-column-flextable'>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-av_three_fifth-b40918d7eb29fabc4ed6d787f2e092d0\">\n.flex_column.av-av_three_fifth-b40918d7eb29fabc4ed6d787f2e092d0{\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-av_three_fifth-b40918d7eb29fabc4ed6d787f2e092d0 av_three_fifth  avia-builder-el-12  el_after_av_one_full  el_before_av_two_fifth  first no_margin av-break-at-tablet flex_column_table_cell av-equal-height-column av-align-middle av-animated-generic left-to-right av-zero-column-padding  column-top-margin'     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lymk1xeb-40be9df0119ab5d7896c0cfc9dec524d\">\n.avia-image-container.av-lymk1xeb-40be9df0119ab5d7896c0cfc9dec524d img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-lymk1xeb-40be9df0119ab5d7896c0cfc9dec524d .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-lymk1xeb-40be9df0119ab5d7896c0cfc9dec524d av-styling- avia-align-center  avia-builder-el-13  avia-builder-el-no-sibling '   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" fetchpriority=\"high\" class='wp-image-186 avia-img-lazy-loading-not-186 avia_image ' src=\"https:\/\/www.futureafrica.science\/farleaf\/wp-content\/uploads\/sites\/3\/2024\/07\/Anna-01.jpg\" alt='' title=''  height=\"338\" width=\"600\"  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/www.futureafrica.science\/farleaf\/wp-content\/uploads\/sites\/3\/2024\/07\/Anna-01.jpg 600w, https:\/\/www.futureafrica.science\/farleaf\/wp-content\/uploads\/sites\/3\/2024\/07\/Anna-01-300x169.jpg 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/div><\/div><\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lymk2msw-e688d3e34d58ff02f242a0e0e07a1fb0\">\n.flex_column.av-lymk2msw-e688d3e34d58ff02f242a0e0e07a1fb0{\npadding:0px 15px 0px 15px;\nbackground-color:#1a78bd;\n}\n\n@media only screen and (min-width: 480px) and (max-width: 767px){ \n.flex_column.av-lymk2msw-e688d3e34d58ff02f242a0e0e07a1fb0{\npadding:15px 15px 15px 15px;\n}\n}\n\n@media only screen and (max-width: 479px){ \n.flex_column.av-lymk2msw-e688d3e34d58ff02f242a0e0e07a1fb0{\npadding:15px 15px 15px 15px;\n}\n}\n<\/style>\n<div  class='flex_column av-lymk2msw-e688d3e34d58ff02f242a0e0e07a1fb0 av_two_fifth  avia-builder-el-14  el_after_av_three_fifth  avia-builder-el-last  no_margin av-break-at-tablet flex_column_table_cell av-equal-height-column av-align-middle av-animated-generic left-to-right  column-top-margin'     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lymk2cok-6ddd44033b2caf6173ab9d20ba376b16\">\n#top .av_textblock_section.av-lymk2cok-6ddd44033b2caf6173ab9d20ba376b16 .avia_textblock{\ncolor:#ffffff;\ntext-align:justify;\n}\n<\/style>\n<section  class='av_textblock_section av-lymk2cok-6ddd44033b2caf6173ab9d20ba376b16 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock av_inherit_color'  itemprop=\"text\" ><p style=\"text-align: center;\"><strong>Dr Anna Msigwa<\/strong><\/p>\n<p style=\"text-align: center;\">FAR-LEAF Research Fellow<br \/>\nNelson Mandela African Institution of Science and Technology<br \/>\n<strong>Tanzania<\/strong><\/p>\n<\/div><\/section><\/div><\/div><!--close column table wrapper. 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