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1. Biochar and/or Compost for Soil Quality and Maize Yield Improvement in an Acidic Ferralsol Soil in Kenya.The rapidly increasing global population, climate change and dwindling resources have made it very difficult to meet global food demand. To address the issue of food insecurity, sustainable intensification of agriculture (SIA) has been proposed. However, the consequences of poorly managed agricultural intensification can negatively affect the ecosystem. Biochar and compost application has been widely recommended as a highly promising soil fertility replenishment option to promote sustainable ... |
2. Spatial Interpolation for Mapping Hydraulic Soil Properties in GIS EnvironmentSoil water information is an essential input for environmental, hydrological or land surface models. There is a need for reliable soil water information with current coverage in the area. A number of 60 soil profiles data were evaluated for the performance of estimates inverse distance weighting to map some of the soil quality properties. soil profiles were used for the application of geostatistics. Maps with the investigated coverage were produced with the soil information available about so... M.A. Abdelrahman, A.M. Saleh, M.M. El sharkawy, E. Farg, S.M. Arafat |
3. Preparation of a precision ripping plan using manual vertical penetrometer measurementsLarge weight power engines and tools used in agriculture significantly contribute to the formation of compacted and thickening layers starting from the soil surface. There are suitable deep ripping technologies to eliminate harmful soil compaction, which are extremely energy and cost demanding. In precision agriculture, it is possible to treat spatially delimited unfavourable soil patches. The bulk density (g/cm3) of the soil was calculated from the soil resistance and moisture con... T. Rátonyi, P. Ragán, A. Széles, P. Fejér, E. Harsányi, I. Bácskai |
4. A cheap alternative to data management and creating of yield maps of small-plot field experimentsLong-term field trials provide an opportunity to examine the long-term effects of crop production factors and the effect of different crop years can also be analysed. In the long-term field trial, spatial representation of the data belonging to each plot might be necessary for the purpose of soil heterogeneity analysis, working hypothesis, or even presentation. Researchers dealing with long-term field trials usually store the measurement data for a given experiment in Excel or in a database o... P. Ragán, T. Rátonyi, A. Széles, P. Fejér, I. Bácskai, E. Harsányi |
5. Mapping spatial variability of soil nutrient deficiencies in smallholder villages – a prerequisite for improved crop production in AfricaSmallholder farming is the dominating type of agricultural production in many parts of Africa. If cultivation practices can be adapted to match the specific needs of individual smallholder plots, this can certainly be regarded as a form of precision agriculture (PA), considering their limited size. A fundamental prerequisite for successful application of PA is the availability of basic information on soil properties at a detailed enough level. To fill yield gaps, site specific information mus... M. Söderström, K. Piikki, J. Kihara, J. Mutua, J. Wetterlind |
6. Implementation of Proximal Soil Sensing, Data Fusion and Machine Learning to Improve Phosphorus Management at a Field ScaleIn the context of a rapid increase in phosphorus (P) fertilizers prices, new techniques are needed for geospatial predictions of soil P for improved P fertilizer management, while increasing farmer profitability and reducing environmental concerns. One of the biggest issues in site-specific phosphorus management is the substantial spatial variability in plant available P across fields. This leads to an expensive and laborious process for accurate mapping soil P using a traditional soil sampli... A. Lachgar |
7. Assessment of Performance of APSIM Model with Experimental Data from the Short-term Biochar Experiment at Guinea Savanna Zone (Nyankpala), GhanaA three-year season, short-term study (2017–2019) was conducted at farming for the future UDS-Nyankpala, near Tamale in the Guinea Savannah Zone of Ghana. It was done to assess the effect of five different sources of biochar applications on rice-cowpea intercrop system on soil nutrient status and upland rice productivity. The experimental treatments comprised a control, 5 t/ha rates of high and low pyrolysis (400-7000C) of biochar. Five different sources of biochar (groundnut... |
8. Simulate Plant Growth Response to Biochar applications on upland rice-cowpea intercrop and Inorganic N and P on a Ferric luvisols Soil in GhanaFive different sources of biochar (groundnut shells, rice husk, poultry manure, sawdust, and corn cobs) at a rate of 5t/ha were incorporated into the soil at a depth of 30 cm during field experiments in Nyankpala in Ghana. A split plot factorial design arranged in a randomized complete block with 4 replications was used. The uniqueness of the studies was that cowpea and inorganic fertilizer treatments were added to aid upland rice-cowpea N and P content of the biochar. These studies provide a... |
9. Precision Farming Using Spatial Soil Variability Maps for Improved Banana Nutrient Management in UgandaBanana is one of the most important crops for millions of farmers in Uganda. However, its production has remained low due to limited understanding of the variability of soils for targeted nutrient management. Measures that improve the understanding of soils are instrumental to guide precision nutrient management in highly heterogeneous cropping systems. A study was conducted on a Ferralsol in central parts of Uganda to assess the spatial variability of Soil Organic Carbon (SOC), Total nitroge... P. Musinguzi |
10. LAND DEGRADATON RISK ASSESSMENT AT A SITE IN AFIJIO LOCAL GOVERNMENT AREA OF OYO STATE, NIGERIASoils are considered non –renewable and it is a limited resource therefore the continuous use of land without appropriate management practices leads to land degradation in the long run. Land degradation is the decline in soil quality caused by natural factors or, more often, by improper use/management usually for agricultural, pastoral or urban purposes. This study aims to map the soils while also assessing the state of land degradation in Afijio Local government area of Oyo state. The ... |
11. GESTION STRATEGIQUE DES NUTRIMENTS POUR L’AMELIORATION DU RENDEMENT ET DE LA PROFITABILITE ECONOMIQUE DU GOMBO (Abelmoschus esculentus L.) SUR LES SOLS FERRALITIQUES AU SUD TOGODes stratégies efficientes de gestion des nutriments sont indispensables pour une production agricole améliorée et durable. La performance du gombo (Abelmoschus esculentus L.) a été évaluée sous cinq approches de fertilisation dans un cycle de deux cultures successives à la Station d’expérimentations agronomiques de l’Ecole Supérieure d’Agronomie de l’Université de Lomé (SEA/ES... K. Kotchadjo, J.M. Sogbedji |
12. Precision Nutrient Management for Cassava ProductionMatching nutrient supplies with plant nutrient requirements is key to sustaining crop production while preserving the environment. However, fertilizer recommendations are either inexistent or provided as blanket rates in cassava production systems in sub-Saharan Africa. We studied the effects on cassava yield and profitability of site-specific fertilizer rates against farmer’s practices within the framework of the African Cassava Agronomy Initiative (ACAI) project in Nigeria and Tanzani... K.S. Ezui |
13. MAPPING AND ASSESSING AFRICAN SOILS FERTILITY USING HIGH-RESOLUTION REMOTE SENSING AND MACHINE LEARNING APPROACHES: STATE-OF-THE-ART AND PERSPECTIVESAfrica is far from exploiting its true agricultural potential. United Nations Food and Agriculture Organization (FAO) indicates that the continent has 60% of non-cultivated lands worldwide. While soil fertility is well highlighted as one of the major limiting factors, only limited information is available on soil nutrient contents and nutrient availability in the African soils. Soil fertility of agricultural fields is related to many physical and chemical properties, such as texture, organic ... M. Hmimou, A. Laamrani, F. Sehbaoui, A. Chehbouni, S. Khabba, D. Dhiba |
14. Methodology for Assessing Nutrient Status of Nigeria Croplands: AfSIS/NiSIS Pilot Project - Pathway for Precision Agriculture MappingInherently low soil fertility, nutrient imbalances and accelerating degradation constitute threats to precision agriculture (PA), agricultural productivity and ecosystem services in sub-Saharan Africa (Nigeria inclusive). Presently, the geographical extent of existing nutrient constraints, location specific trends and opportunities for managing these over time are highly uncertain. The AfSIS/NiSIS project assessment aims to provide spatially explicit observations, measurements and predictions... V. Aduramigba-modupe, I. Amapu, M. Walsh, B. Scott |
15. Soil fertility mapping of Dry savannah zone of TogoIncreasing agricultural productivity and therefore the production requires a good knowledge of the soil fertility status and a sustainable nutrients management. The objective of this study is to map spatial distribution of some selected soil fertility parameters in the dry savannah agro-ecological zone that covers the regions of Savanes and Kara in Togo. Soil fertility parameters such as pH, available phosphorus (P), exchangeable potassium (K) and organic matter were determined in soil sample... K.K. Ganyo, K.A. Ablede , K. Koudjega, S. Ani, K. Afawoubo, D.A. Anoumou, A.T. Mensah, E. Assih-faram, M. Tchalla-kpondji, K. Kpemoua, Y. Lombo |
16. Nutrient management tailored to smallholder agriculture enhances productivity and sustainabilityPlant nutrition plays a central role in the global challenge to produce sufficient and nutritious food, lessen rural poverty, and reduce the environmental footprint of crop production. Efficient fertilizer use requires tailored solutions that are scientifically sound, practical and scalable especially for smallholder farmers, such as the crop-led site-specific nutrient management (SSNM) approach developed in the 1990s for cereal production systems in Asia to address variability among farms. O... P. Chivenge, K. Saito, M. Bunquin, S. Sharma, A. Dobermann |
17. Determining Nutrients rates for Maize, Rice, Cotton, and Tomato in Dry Savannah zone of Togo based on site specific nutrient management approachInadequate fertilizer application limits crop yields and lead to the soil fertility depletion. This study aims at formulating nutrients rates recommendations for main the crops in dry savannah zone of Togo. Site specific nutrient management approach based on spatial variations in nutrients status, crops nutrients requirement and average crop yields under field conditions was used to determine recommendations rates in N, P and K. For maize cropping, nutrients needs are 94 kgN.ha-1, ... |
18. Some essential nutrients, active limestone and pH status of north and center Tunisian soils.Tunisia is a North African country characterized by a Mediterranean climate in the north and Saharan climate in the south part of the country, which resulted in a high geo-morphological diversity of its soils. The last are known by their various fertility status that is affected by abiotic constrains such as salinity, drought, erosion and low organic matter concentration. Thereby, soil fertility is largely linked to geographical position, making fertilization recommendatio... A. Hachana, I. Hemissi, I. Achour, A. Souissi, B. Sifi |
19. IMPACT OF SENSOR-BASED PRECISION NITROGEN MANAGEMENT ON WHEAT YIELD AND NITROGEN USE EFFICIENCYOptical sensors are promising new technology for precision nitrogen management in crops. Fertilizer N management for wheat (Cultivar: Giza 171) using optical sensor (GreenSeeker®) was evaluated at the Experimental Farm of Faculty of Agriculture, Cairo University, Giza Governorate, Egypt. The experiment was laid out in randomized block design with three replications during two successive winter seasons (2017/2018 and 2018/2019) to quantify the relationship between N uptake at jointing grow... A.A. Soaud, E.A. El-metwally , A.M. Ali, R.K. Sayed |
20. A geostatistical approach to define a soil fertility index based on the main soil macronutrientsSoil fertility is greatly affected by main soil macronutrients such as nitrogen (N), phosphorus (P), and potassium (K). These macronutrients can be used to define a synthetic fertility index to support soil fertilization. The study was aimed to propose a geostatistical approach to define a synthetic fertility index based on factorial cokriging. It consists in quantifying and reducing the spatial variability of multivariate data to only a few factors, related to different spatial scales. Such ... H. Aboelkhier, A. Nasrallah, S. Shaddad, G. Buttafuoco |
21. QUANTIFICATION OF OPTIMAL FERTILIZERS DEMAND IN WHEAT AND CORN FIELDS IN MOROCCO USING VERY HIGH-RESOLUTION REMOTE SENSED IMAGERY AND HYBRID COMPUTATIONAL APPROACHESAbstract. Demand on agricultural products is increasing as population continues to grow. Data driven management of macronutrients (i.e., nitrogen (N), phosphorus (P) and potassium (K)) and crops are of critical prominence to get the most out of soil in terms of crop yield while preserving environment. This study aims to establish a quantitative framework for macronutrient (i.e., nitrogen, phosphorus, and potassium) status (i.e., excess, deficiency) for winter wheat (Triticum ... K. Misbah, A. Laamrani, A. Chehbouni , D. Dhiba , J. Ezzahar, K. Khechba |
22. DIGITAL MAPPING OF EXCHANGEABLE CATIONS IN SOILS OF SOUTHWESTERN NIGERIASoil acidity and low exchangeable cation are the major soil fertility challenges resulting in low crop productivity in Southwest Nigeria. Digital soil mapping is an effective way to achieve precision agriculture. However, most of the research work on soil exchangeable cations as soil information was not geo-referenced, The study created geo-database and developed a digitized map of soil exchangeable cations Indicating the spatial distribution in soils of southwestern Nigeria. Secondary d... O.E. Awosiyan, I.K. Mary, F.A. Adesina |
23. Nutrient Quality Studies of Fluted Pumpkin (Telfairia Occidentalis Hook. F) Leaves as Influence by Fertilizer Micro-dosing and TimeThe nutrient qualities of vegetables have been noted to be affected by agronomic practices. The study evaluated the effect of fertilizer micro-dosing and time of application on nutrient quality of fluted pumpkin. The field experiment was carried out during 2017/2018 cropping season at the Teaching and Research Farm, Obafemi Awolowo University (O.A.U), Ile-Ife, situated within the forest zone (latitude 070 28’N and longitude 040 33’East and 224 m above sea level). The experiment wa... |
24. Soil organic carbon mapping in Tunisia: comparison of different interpolation methodsSoil organic carbon (SOC) stock is an important carbon pool in terrestrial ecosystems. It plays an important role in agricultural productivity and is often used as a key indicator of soil quality whether for soil fertility or climate regulation. SOC stocks are difficult to estimate due to the large spatial variability. In this way, many different techniques have been conducted for predicting and mapping SOC content. However, although numerous techniques are in use, there is still debate on wh... M. Barbouchi, H. Bahri, A. Souissi, H. Cheikh m'hamed, M. Annabi |
25. Analysis, design and development of a web and mobile application for fertilizer olive orchards recommendationsFarmer’s fertilization practices (FFP) in olive intensive or super intensive orchards must be improved to a better control of fertilization costs, to increase olive yielding, to maintain soil fertility and to avoid environment pollution. Indeed, a large category of fertilizer users apply fertilizers arbitrary (66%) without any knowledge about the adequate nutrient requirements of a such planting system. To improve the FFP in intensive and super intensive olive orchards, and in the frame... A. Larbi, H. Boulal, H. El arbi, W. Ben hamouda |
26. Enhancing the Use of Appropriate Fertilizers for Improving Rice and Maize Production in TanzaniaMost soils under maize and rice production in Tanzania are characterized by low soil fertility. Fertilizer recommendations were developed in Tanzania to improve soil productivity but most of them are for N and P nutrients. The recommendations do not cover secondary and micro nutrients because the data for these nutrients are very few to establish response functions. In year 2017 to 2019, trials were conducted in 769 farmers’ field in Tanzania to determine soil fertility status and the r... C.J. Senkoro |
27. Precision Nitrogen Management in Maize Using an Optical Sensor in the Indo-Gangetic PlainsBlanket fertilizer nitrogen (N) for large irrigated maize field lead to low N use efficiency (NUE) due to spatial and in season temporal variability. In order to achieve higher NUE, a fertilizer N management strategy using GreenSeekerTMoptical sensor was evaluated. GreenSeekerTM uses visible and near-infrared spectral response from crop canopies. We conducted 03 field experiments during 2012-14 in monsoon season maize to define relationship and develop algorithm between in sea... V. Singh |
28. Comparison of soil testing and scanning methods for spatial variability assessment of soil fertility: implications for precision agricultureUnderstanding spatial variability of soil fertility is a key to variable rate nutrient applications for precision fertilization. The objective of this study was to assess field spatial variability of soil fertility using two approaches, a gridded soil testing and a scanner-based technique. Measurements were performed on a quarter pivot silage corn field of 13 ha. For the first approach, soil samples were taken on a geopositioned grid and were analyzed for the main physicochemical and nutrient... R. Bouabid |
29. Spatial variability of soil and tree nutrient status in relation to bitter pit incidence in apple orchards in the Sais plateau, MoroccoDiscreet spatial variability of soil fertility affects crop productivity and quality. In general, nutrient deficiencies are the most incriminated. However, excess or unbalanced nutrient can also impact seriously both yield and quality, especially in fruit tree crops. Bitter-pit, a nutrient disorder related to K-Ca-Mg unbalance in apple orchards can cause major loss of apple quality in field, as well as on post-harvest following periods of cold storage. Conventional composite sampling for soil... R. Bouabid |
30. Soil fertility characterization and mapping for Adigudem plain, Northern EthiopiaAs Ethiopia’s agriculture has been influenced by variability and poor soil fertility management and information, thus this study was aimed to determine the physico-chemical properties of soils and build geo-referenced soil information systems so as to have precision agriculture for adigudem plain. An area of 229 km2 comprising different villages was delineated for the study. Soil sampling points were arranged in a grid form and georeferenced using a hand-held GPS. A total of 194 Soil sa... G. Berhe |
31. Les engrais minéraux issus du diagnostic sol améliorent la fertilité chimique et la production cacaoyère à l’Est, au Centre-Sud et au Sud-Ouest de la Côte d’IvoireUne étude sur la fertilisation minérale raisonnée a été faite sur trois ans, à l’Est (Indénié-Djuablin), au Centre-Sud (Lôh-Djiboua) et au Sud-Ouest (Nawa) de la Côte d’Ivoire afin, d’évaluer les effets de 6 formules d’engrais minéraux sur la fertilité du sol et la production cacaoyère. Ainsi, sur chaque site, le dispositif expérimental a été en bloc de ... A. Kotaix |
32. Cartographie interactive des exploitations de noix de cajou des producteurs de la coopérative COPRODIGO de GohitaflaL’agriculture a connu de profondes mutations : la spécialisation, la réduction de la main d’œuvre agricole, la mécanisation croissante. Ces dernière années, l'intégration des technologies de l'information et de la communication dans la gestion des exploitations agricoles a donné naissance à l'agriculture de précision. Ces innovations technologiques permettent de piloter et d’optimiser les p... S. Koné |
33. Remote Sensing: from Plot Towards Landscape ScalesThe agricultural research sector is working to develop new technologies and decision support tools to sustainably increase food productivity, ensure global food security and decrease poverty. Precision Agriculture (PA) and specially Remote Sensing (RS) technologies have become more affordable in recent years. Cameras have become more compact and lighter, with improved spectral and spatial resolutions. The use of incoming light sensors allows for images to be automatically calibrated to surfac... F. Rodrigues |
34. Tropical Precision Agriculture: the Brazilian ExperienceSoils with limited natural fertility and high dependence on imported fertilizers, in addition to intense natural spatial variability, are factors that made Precision Agriculture (PA) develop in Brazil. More than 20 years of academic and business experience have been accumulated, with intense consulting services with business models adapted to local conditions, involving small, medium and large rural properties. Innovations and challenges are still needed in the field of soil fertility managem... J. Molin |
35. Field Digitization and Decision Support System (Dss) in Peach Cultivation to Manage the Mediterranean Fruitfly, Ceratitis CapitataThe Mediterranean fruit fly, Ceratitis capitata (Wiedermann) (Diptera: Tephritidae), is a highly invasive, polyphagous species that attacks a wide range of fruits. In Tunisia, among the host species, peaches (Prunus persica (L.) are particularly susceptible, especially late-ripening cultivars. The risk of Medfly attack is related to various factors, such as the period of ripening during the season and the physical–chemical characteristics of the fruit. Traditionally, t... M. Braham |
36. A Synopsis of Water and Nutrient Requirements of Hass Avocado for Uganda and Sub-saharan Africa PractitionersHass avocado production is increasing in Uganda and sub-Saharan Africa (SSA) to tap into the lucrative market especially in Western Europe, China, Japan, and Russia. However, there is limited information about its water and nutrient requirements in end-user-friendly formats especially in Uganda and SSA. We consolidated the scanty information about water and nutrient requirements of Hass avocado and made necessary recalculations and unit conversions to aid meaningful uptake of the information ... P.C. Odong, G. Olupot, T.L. Odong, A. Mwije, P. Musinguzi, I.N. Alou, T.A. Basamba, P. Ebanyat, E. Opolot |
37. Harnessing Soil Health to Create More Restorative and Resilient Food Systems in the Central Highlands Eco-Region FoodscapeThe relationships among soil health and adoption of regenerative practices, crop productivity, human nutrition and farm profitability are intricate and poorly understood, particularly in the Central Highlands of Kenya. There is a need for a deeper understanding of how soil health is affected by the profitability of preferred value chains among smallholders in this ecoregion. The Central Highlands Ecoregion Foodscape, or the CHEF, which is within the Upper Tana River Basin is centered around f... R. Sitienei |
38. Overview of Precision Agriculture Education in North AmericaDr. Fulton will present about current educational degree programs and courses being taught in North America on precision and digital agriculture. He will also note feedback from industry on precision agriculture educational needs and where universities are heading with their PA programs. ... J. Fulton |
39. Global Renewal and Future of On-farm ExperimentationExperimenting on farm with farmers is gaining momentum as a choice instrument to contribute to addressing global challenges. This presentation will show how the complex histories of field experiments and participatory research are leading toward OFE solutions that are both evidence-based and farmer-centric. Varied communities thread these collaborative innovation pathways, among which those of Precision Agriculture occupy a key position for their ability to leverage scientific rigor, agronomy... M. Lacoste |
40. The Role of Smart-Advisory Services in Climate-resilient AgricultureCrop management is strongly influenced by changes in weather and climate, therefore strengthening resilience and environmental sustainability will require robust advisory services that can support farmers’ decisions. Crop production adaptations to weather, climate variability, and change will need combined efforts from farmers, academia, industry, and government to co-develop solutions, train future workforce not only to advise the farming community but also develop solutions and also e... B. Ortiz |
41. Precision Agriculture in Africa; the Youth Are ReadyPrecision Agriculture holds enormous potential for Africa’s food security and socio-economic development. With the evolvement of the global agricultural systems and the growing emergence of the Fourth Agricultural Revolution (Agric 4.0), Africa is presented with a huge opportunity to leverage precision agriculture to meet its growing population demands in a sustainable environment. Of course, the growth of precision agriculture practices and tools is not without its challenges. However,... F. Adekoya |
42. Empower Farmers to Sustainably Agricultural Productivity in West Africa: FeSeRWAM, a Digital Advisor for FarmersMany smallholder farmers in West Africa have a common challenge which is their inability to access the right information on appropriate agricultural inputs and practices to unlock existing potential, make better decisions and get more dividends on their investments. Supported by USAID, Feed the Future "Enhancing Growth through Regional Agricultural Input Systems (EnGRAIS/IFDC) and Partnership for Agricultural Research, Education and Development (PAIRED) have developed and deployed a... J. Toviho, I.E. Brou, K. Kouassi |
43. An Ensemble-Based Deep Learning Approach for Early and Accurate Wheat Disease DetectionCrop diseases are the primarily cause for yield loss and a factor for food security issue around the globe. Crop diseases caused by pathogens pose a significant threat to global food security, the challenge become worst particularly in developing countries like Ethiopia. Rapid population growth and accurate disease identification is crucial for timely intervention and minimizing crop losses. However, traditional methods often rely on expert analysis, which can be time-consuming and resource-i... T. Aboneh, P. Rorissa |
44. Multivariate Regional Deep Learning Prediction of Soil Properties from Near-Infrared, Mid-Infrared and Their Combined SpectraArtificial neural network (ANN) models have been successfully used in infrared spectroscopy research for the prediction of soil properties. They often show better performance than conventional methods such as partial least squares regression (PLSR). In this study we develop and evaluate a multivariate extension of ANN for predicting correlated soil properties: total carbon (C), total nitrogen (N), clay, silt, and sand contents, using visible near-infrared (vis-NIR), mid-infrared (MIR) or comb... R. Nyawasha |