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| Filter results11 paper(s) found. |
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1. Spectral assessment of chickpea morpho-physiological traits from space, air and groundChickpea (Cicer arietinum) is an important grain legume in semi-arid regions and water-stress is a major constraint to its productivity. Area under chickpea cultivation is growing but climate change toward greater aridity results in higher precipitation instability and risks yields. The ability to assess water potential can support irrigation decisions. Thus, improved ability to spatially assess plants water status can promote more efficient irrigation. The current... I. Herrmann, R. Sadeh, A. Avneri, Y. Tubul, R. Lati, S. Abbo, D.J. Bonfil, Z. Peleg |
2. Development, validation and dissemination of a soil tool kit for site specific soil health assessmentSmallholder farmers, extension and partners in agricultural development have limited access to analytical laboratories due to high costs and remote locations. Yet, it is very important to assess soil health and provide farmers with context specific options to increase crop yields and soil fertility. The goal of the project was to develop, validate and disseminate a soil tool kit that that uses minimum reagents to provide site-specific soil quality measures in/near field to inform farmer decisions... B. Nyamasoka-magonziwa |
3. Mapping African soils at 30m resolution - iSDAsoil - Western Time Zones“iSDAsoil” combines remote sensing data and other geospatial information with carefully stratified point samples subjected to spectral analysis and traditional wet chemistry reference analysis. State of the art machine learning techniques were used to create digital maps of 17 agronomically important soil properties at 3 depths, including estimates of uncertainty. iSDAsoil is designed to encourage sharing and we hope that the owners of other soil and agronomic data, in industry... J. Crouch, K. Shephard, M. Miller, J. Collinson, P. Singh, P. Pypers, R. Van Den Bosch, C. Van Beek, M. Chernet, S. Aston |
4. Mapping African soils at 30m resolution - iSDAsoil - Eastern Time Zones“iSDAsoil” combines remote sensing data and other geospatial information with carefully stratified point samples subjected to spectral analysis and traditional wet chemistry reference analysis. State of the art machine learning techniques were used to create digital maps of 17 agronomically important soil properties at 3 depths, including estimates of uncertainty. iSDAsoil is designed to encourage sharing and we hope that the owners of other soil and agronomic data, in industry... C. Van Beek, M. Chernet, S. Aston, M. Miller, J. Collinson, K. Shephard, J. Crouch, T. Terhoeven-urselmans |
5. Self-developed Small Robot for Tomato Plants DetectionA mobile (robot) measuring station for tomato plant detection has been developed, equipped with different sensors and a self-developed hardware and software background. The development aims are the applications in precision crop production: artificial intelligence- based detection, imaging, data collection, automation, and remote sensing. The robot is fault- free in field conditions and is therefore a key development tool for precision farming and digital agriculture. The measurement system developed... B. Ambrus, G. Teschner, M. Neményi, A. Nyéki |
6. Photogrammetrically Assessed Smallholder Pineapple Fields in Ghana Using Small Unmanned Aircraft SystemsUltra-high-resolution imagery taken by small unmanned aircraft systems (sUAS, drones) has been proven beneficial for the monitoring of agricultural crops in conventional farming especially in the context of precision farming. For smallholder pineapple cultivation, the use of sUAS imagery is still sparsely evaluated. However, technical developments in low cost sUAS-sensor combinations make assessments of agricultural areas by service providers more and more affordable for Africa. In this study,... M. Hobart, E. Anin-adjei, E. Hanyabui, G. Badu-marfo, M. Schirrmann, N. Schiller |
7. Productivity and Profitability of Maize (Zea Mays L.) As Affected by Planting and Fertilization Schemes on the Ferralsols of Southern TogoA sustainable improvement of crop productivity and profitability in the current context of climate change and land degradation is necessary to meet the food and cash needs of a ceaselessly growing population. In order to help achieve this aim, we carried out a 2-year experiment (2020 and 2021) at the University of Lomé Agronomic Experiment Station. The experiment was set up in a split-plot design, composed of eight (08) treatments in three (03) replicates each. Two planting schemes (SC1=... M. Mazinagou, M.J. Sogbedji, A. N'gbendema |
8. Determination of Major Limiting Nutrients and Site-specific Fertilizer Recommendation Towards Optimizing Rice Production in the Irrigated Perimeter of the Zio Valley (Togo)Adoption of appropriate inorganic fertilization schemes is essential to improving fertilizer use efficiency and crop performance. This study aims to contribute to the improvement of rice yields in the irrigated perimeter of the Zio Valley in Togo through appropriate inorganic fertilization. Nutrient omission trials were set up during November 2020 to March 2021 and May to September 2021, with producers identified in the four (04) villages (Mission Tove, Ziowonou, Kovie and Assome) located in the... A. N'gbendema, M.J. Sogbedji, M. Mazinagou |
9. Rice Production System and Major Nutrients Balance Assessment in Rice Cropping in the Irrigated Perimeter of the Zio ValleyKnowledge of cropping systems and farming practices are essential towards improving crop yields. This study aims to characterize rice production systems, analyse fertilization practices and assess the impact of irrigated rice on the balance of major nutrients in Zio valley. The characterization of production systems and fertilization practices were carried out through a survey of a sample of 192 randomly selected producers, i.e. 34% of the total number of farmers in the four (4) villages of the... A. N'gbendema, M.J. Sogbedji, M. Mazinagou |
10. Implementing Field-Based High Throughput Plant Phenotyping: The Open Source Way... Y. Kassim |
11. Land Suitability Prediction for Maize Production in Southwest Nigeria Using Geographical Information System and Mostlimiting Soil Native Fertility Factors... T. Olutoberu |