This study investigates the spatial-temporal trends and variability of rainfall within East South Africa (ESA) region. The newly available Climate Hazards group Infrared Precipitation with Stations (CHIRPS-v2) gridded data spanning 37 years (1981 to 2017) was validated against gauge observations (N = 4243) utilised map zones experiencing significant monotonic trends. Standardised annual anomalies revealed distribution below above normal rains that are associated droughts floods respectively....

On-farm trials were conducted to investigate the effects of maize harvesting and handling practices smallholder farmers on quality produce before, during storage in two contrasting agro-locations. Farmers harvested prepared crop according local practices, stored it ordinary woven polypropylene bags for 30 weeks. Grain moisture, insect populations, insect-damage, moldy/diseased/discolored grain, rodent-damage, shriveled broken grains, non-consumable impurities, overall losses monitored....

This paper assesses evidence-based applications of Remote Sensing for Sustainable and Precision Agriculture in the Northern Savanna Regions Ghana three decades (1990–2023). During this period, there have been several government policy intervention schemes pragmatic support actions from development agencies towards improving agriculture area with differing level success. Over same dramatic advances remote sensing (RS) technologies tailored to sustainable globally. However, extent which...

ABSTRACT Timely monitoring of land degradation (LD) is essential to guide targeting the sustainable management (SLM) practices suitable context that assists in achieving an LD neutral world. This study applied a 40‐year time series remote sensing data representing vegetation indices and rainfall identify hotspots for climatic human‐induced or improvements East Southern Africa (ESA) region. was complemented by field assessment SLM farmers Tanzania. Remote analysis at regional scale identified...

Abstract Mycotoxin contamination in staple cereals like maize poses significant health risks to humans and livestock worldwide. The fungus Aspergillus flavus , the primary aflatoxin producer, is influenced by climate, soil type, nutrients, crop management practices. This study mapped risk its drivers using ensemble (gradient boosting, adaptive random forest) non-ensemble (support vector machine, neural networks, naïve bayes, K-nearest neighbours) machine learning methods. We analysed 907...

Monitoring land degradation (LD) to improve the measurement of sustainable development goal (SDG) 15.3.1 indicator (“proportion that is degraded over a total area”) key ensure more future. Current frameworks rely on default medium-resolution remote sensing datasets available assess LD and cannot identify subtle changes at sub-national scale. This study first adapt local in interplay with high-resolution imagery monitor extent semiarid Kiteto Kongwa (KK) districts Tanzania from 2000–2019. It...

Rainfall onset and cessation date greatly influence cropping calendar decisions in rain-fed agricultural systems. This paper examined trends of onsets, cessation, the length growing season over Northern Ghana using CHIRPS-v2, gauge, farmers’ perceptions data between 1981 2019. Results from CHIRPS-v2 revealed that three seasonal rainfall indices have substantial latitudinal variability. Significant late early onsets were observed at West East 1.5° W longitude, respectively. cessations longer...

This article investigates the magnitude and significance of spatial-temporal trends 37 years' time series gridded data for rainfall, maximum (Tmax) minimum (Tmin) temperature West Africa. A modified Mann-Kendall test Theil-Sen's slope estimator were utilized to trends, respectively. The significant three variables between six agroecological zones (AEZs) was compared. Gridded climate represented gauge with high accuracy and, therefore, can reliably complement sparse observation network in...

Sustainable agricultural technologies have impacted positively on staple crop yields in Asia and some parts of Sub-Sahara Africa. However, the adoption similar vegetable subsector is still low among small-scale farmers Tanzania. Several efforts aimed at promoting such as improved varieties, mineral fertilizers, manure pest management practices to raise output, not yielded desired impacts. We examine dynamics farmers’ these factors influencing technology choice. also predict peak level speed...

This paper examines how resilience capacity mediates or moderates the relationship between weather shocks and household food security based on two waves of farm survey satellite-based data in northern Ghana applying econometric models. Results show that moderate negative effects heat stress drought security. However, mediating role shock-food nexus is more stable stronger than its moderating role. A standard deviation (SD) increase reduces consumption by 0.71 SD, but effectively this effect...

Low adoption of sustainable intensification technologies hinders achievement their potential impacts on increasing agricultural productivity. Proper targeting locations to scale-out particular is a key determinant the rate adoption. Targeting with similar biophysical and socio-economic characteristics significantly increases probability Areas are referred as recommendation domains (RDs). This study used geospatial analysis delineate (SRDs) for scaling improved crop varieties good agronomic...

Sigatoka leaf diseases are a major constraint to banana production. A survey was conducted in Tanzania and Uganda assess the distribution of Pseudocercospora species severity diseases. were identified using species-specific primers. Sigatoka-like observed all farms on cultivars, but disease varied significantly (P < 0.001) between countries, districts/regions within altitudinal ranges cultivars. In regions except Kilimanjaro, P. fijiensis, causal agent black Sigatoka, only pathogen...

Like many other African countries, Ghana's rain gauge networks are rapidly deteriorating, making it challenging to obtain real-time rainfall estimates. In recent years, significant progress has been made in the development and availability of satellite precipitation products (SPPs). SPPs may complement or substitute data, enabling better forecasting stream flows, among things. However, still have biases that must be corrected before estimates can used for any hydrologic application, such as...

This study describes the mismatch between required knowledge and efforts by scientists stakeholders in Lake Naivasha basin, Kenya. In integrated water resources management (IWRM) suffers from absence of critically relevant knowledge. further presents a spatial assessment framework for supporting IWRM basin. resulted an ongoing debate studying basin's issues. It builds on jointly identified indicators sustainable governance, their interdependency, gaps. For basin this is first important step...

This study was conducted to assess the potential impact of applying a new groundnut planting density on welfare smallholder farmers in northern Ghana. We used data from on-farm experiments, focus group discussions, and household survey. followed three steps our analysis. First, we cost-benefit analysis which showed economic advantage technology over farmers’ practice. Second, predicted adoption rates along timeline using Adoption Diffusion Outcome Prediction Tool (ADOPT). Third, results...

Validation of gridded precipitation products (GPP) increases the users’ confidence and highlights possible improvements in algorithms to handle complex rain-forming processes. We evaluated skill three GGPs (CHIRPS-v2, CHELSA, TerraClimate) estimating rain gauge observations compared trends derived from these across East Southern Africa (ESA) region. used Taylor diagrams Kling-Gupta Efficiency (KGE) assess accuracy. A modified Mann-Kendal test a Sen’s slope estimator were utilized determine...

Adoption of CA in smallholder farmers Africa is (s)low partly due to poor spatial targeting. Mapping the crop yield from different systems across space and time can reveal their recommendation domains. Integration machine learning (ML) free remotely sensed big data have opened huge opportunities for data-driven insights into complex problems agriculture. The objective this study was estimate spatial-temporal variations maize grain yields 13-year multi-location on-farm trials implemented four...

This paper generates an extrapolation suitability index (ESI) to guide scaling-out of improved maize varieties and inorganic fertilizers. The best-bet technology packages were selected based on yield gap data from trial sites in Tanzania. A modified detection algorithm was used generate maps two types dissimilarities between environmental conditions at the reference outlying projection domain. dissimilarity intersected ESI. Accounting for correlation structure among covariates estimate risk...

Maize is a staple food, but productivity has stagnated due to limited access advanced farming methods and knowledge. To promote sustainable agriculture, understanding the factors affecting maize yield at farm level crucial. This study used panel data on agronomic practices in Northern Ghana Malawi from 2014 2020. Satellite-based environmental variables were extracted household locations, Random Forest modeling was identify influencing variability. The models performance sub-par with low R2...

Soil and water conservation technologies are critical in reducing drought soil erosion risks increasing crop yields incomes. Yet, there is limited empirical evidence on the extent impacts of adopting Tanzania. The study’s objective to evaluate adoption (as well as duration adoption) income food security study employs a control function approach instrumental variable quantile treatment effects model survey data from 575 households estimate average distributional adoption. results show that...

Like many other African countries, Ghana’s rain gauge networks are rapidly deteriorating, making it challenging to obtain real-time rainfall estimates. In recent years, satellite precipitation products (SPPs) development and accessibility have advanced significantly. SPPs may compliment or substitute data, enabling better forecasting of streamflows among things. SPPs, on the hand, contain considerable biases that must be addressed before predictions can applied any hydrologic purpose,...