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1. MARKET ACCEPTANCE AND WILLINGNESS TO PAY FOR DRONE TECHNOLOGY IN THE APPLICATION OF PESTICIDE FOR THE CONTROL OF FALL ARMYWORMIn Ghana, maize is one of the major staple food crops. Since 2016, it has been plagued by fall armyworm, leaving production capacity below the national average. The introduction of drone technology was to assist farmers to reduce havoc caused by the fall armyworm. The majority of research done in the area of drone technology has focused on the technical and mechanical aspects. This gap gives rise to this study, as the study seeks to; find out the socioeconomic characteristics of maize farmers... S. Omega |
2. A review on Sensor based robotics agriculture: Improving traditional Agriculture PracticesAgribot could be a mechanism designed to reduce the labor of farmers by increasing the speed and accuracy of the work. Elementary functions concerned in farming i.e. plowing the sphere, sowing of seeds and covering the seeds with soil. Agribot is associate degree autonomous mechanism that provides the power for choices for offered techniques. Fruit Picker robots, autonomous tractor&nb... S.C. Karad, G.U. Shinde, P. Kumar |
3. Small Machinery for Sustainable Intensification of Crop-Livestock System under Biomass ShortageSmall crop-livestock systems in Low- and Middle-Income Countries (LMIC) such as North African ones are characterized by low mechanization levels, thus undermining their productivity and sustainability. Machinery being promoted in local markets are made and imported mostly from industrial countries where farm systems are larger in terms of size. Prices of these machines are not affordable for small to medium sized land-holding farmers who remain incapable of upgrading and modernizing their far... U. Rudiger, Z. Aidoudi, A. Frija, M. Rekik, A. Zaiem, H. Cheikh |
4. LiDAR-based soybean crop segmentation for autonomous navigationThe technological advances in the last few decades have greatly changed agricultural operations. In order to became safer, more profitable, efficient, and sustainable, modern farms have adopted the use of sophisticated technologies, such as robots, sensors, aerial images, and GNSS (Global Navigation Satellite System). These technologies not only increase the crop productivity, but also reduce the wide use of water, fertilisers, and pesticides. Due to this, they reduce costs and negative envir... V.A. Higuti, A.E. Velasquez, M.V. Gasparino, D.V. Magalhães, M. Becker, D.M. Milori, R.V. Aroca |
5. Assessment of Nitrogen Fertilization in Tunisian Wheat Production Using Proximal and Remote SensingThe cereal sector in Tunisia covers wide areas in the country from sub-humid to semi-arid zones; most of the fields are rainfed. The sector is suffering from climate change impacts in term of rainfall amount and pattern. Water management policy in the country prioritizes allocating surface water to domestic uses than irrigation. On the other hand irrigation using groundwater (e.g. in Kairouan) continue to over use the water table with an average drawdown of 5 m/year. Because of this, low effi... M. Mechri, O. Alshihabi, H. Angar, I. Nouiri, M. Landolsi, M. Söderström, K. Persson, S. Phillips |
6. Optimizing Durum Wheat Nitrogen Nutrition Index (NNI) Prediction Through Sentinel-2 Vegetation Index IntegrationNitrogen is crucial for durum wheat growth and productivity, but excess or insufficient levels can harm both the environment and farmers' finances. Remote sensing offers rapid, cost-effective, and nondestructive ways to assess crop nutrition, with vegetation indices (VIs) indicating plant health. This study aims to enhance the accuracy of durum wheat nitrogen status prediction by investigating modified formulations of Nitrogen Nutrition Index (NNI) coupled with various vegetation indices ... N. Boughattas, K. Marwa, Z. Mohamed, A. Sawsen, A. Soumaya, H. Hafedh, H. Imen, T. Youssef |
7. Comparative Study on Precision Nitrogen Management for Wheat Using Greenseeker, Chlorophyll Meter and Leaf Color Chart Based on Spectral Characteristics of LeavesCollecting results on nitrogen (N) uptake throughout the growing season using tools such as GreenSeeker optical sensor, chlorophyll meter and Leaf Color Chart (LCC) holds great promise for optimizing N fertilizer management in cereal crops. To investigate this further, field experiments were conducted over two consecutive winter seasons (2017/2018 and 2018/2019) on wheat at the Experimental Farm of the Faculty of Agriculture, Cairo University, located in Giza Governorate, Egypt. The primary o... A. Soaud, E. El-metwally , A. Ali, R. Sayed |
8. Use of “FertiEdge” Application for Optimizing Wheat FertilizationWheat is a crop of global importance, and effective fertilization is crucial to maximize yield and quality. Traditional methods of fertilization often result in under- or over-application of nutrients, resulting in environmental problems and suboptimal crop yields. FertiEdge is a digital application that provides accurate fertilization recommendations based on real-time data, it’s an innovative tool designed to enhance the efficiency of wheat fertilization. This study evaluates its impa... I. Sbai, F. Sehbaoui, M. Hmimou |
9. Modeling of the Optimal Parameters, Improvement and Performance Evaluation of Marc Engine Driven Common Bean (Phaseolus Vulgaris L.) Thresher in EthiopiaThis executive summary provides an overview of the research study conducted on modeling the optimal parameters, improvement, and performance evaluation of the engine-driven bean thresher developed by the Melkassa Agricultural Research Center (MARC) in Ethiopia. The study aimed to enhance the efficiency and productivity of the bean thresher, contribute to sustainable agricultural practices, promote technology adoption, and support the economic development of the agricultural sector. The re... B. Zewdie gebrekidan |
