Integrated Decision Support For Sustainable And Profitable Land Management In The Lowlands Of Central Asia,
2014
Leibniz-Institut für Agrarentwicklung in Transformationsökonomien
Integrated Decision Support For Sustainable And Profitable Land Management In The Lowlands Of Central Asia, Nodir Djanibekov, Rolf Sommer
All Peer-Reviewed Publications
Land use and crop production in the Khorezm region in western Uzbekistan, exemplarily for the irrigated lowlands of Central Asia, are challenged by the excessive, non-sustainable use of irrigation water and repeated water shortages on one hand, and soil degradation by secondary salinization on the other hand. One of the research objectives of the German-Uzbek Khorezm project, funded by the German Ministry for Education and Research (BMBF) and led by Center of Development Research (ZEF) of Bonn University, was to better understand options for land use and choice of technology at the farm level in order to evaluate and propose …
Biology Of The Coconut Bug, Pseudotheraptus Wayi, On French Beans,
2014
International Centre of Insect Physiology and Ecology Nairobi
Biology Of The Coconut Bug, Pseudotheraptus Wayi, On French Beans, James Peter Egonyu, Sunday Ekesi, Jacques Kabaru, Lucy Irungu
All Peer-Reviewed Publications
The coconut bug, Pseudotheraptus wayi Brown (Heteroptera: Coreidae), is a major pest of a wide range of economically important crops in Eastern and Southern Africa. The suitability of French beans, Phaseolus vulgaris L. (Fabales: Fabaceae) as an alternative food for mass rearing of P. wayi was determined by elucidating its development, survival, and reproduction on French bean pods in the laboratory. Development and survival of immatures on French beans was comparable to what is reported with two hosts previously used for rearing this species, namely coconut and cashew. Adults survived thrice longer and laid almost twice more eggs on the …
Storage Of Mung Bean (Vigna Radiata [L.] Wilczek) And Pigeonpea Grains (Cajanus Cajan [L.] Millsp) In Hermetic Triple-Layer Bags Stops Losses Caused By Callosobruchus Maculatus (F.) (Coleoptera: Bruchidae),
2014
International Centre of Insect Physiology and Ecology Nairobi
Storage Of Mung Bean (Vigna Radiata [L.] Wilczek) And Pigeonpea Grains (Cajanus Cajan [L.] Millsp) In Hermetic Triple-Layer Bags Stops Losses Caused By Callosobruchus Maculatus (F.) (Coleoptera: Bruchidae), C. M. Mutungi, H. Affognon, A. W. Njoroge, D. Baributsa, L. L. Murdock
All Peer-Reviewed Publications
Dry mung bean and pigeonpea grains that had sustained some insect damage but fumigated before the start of the experiment were stored in triple-layer hermetic bags (Purdue Improved Crop Storage (PICS™ bags) or woven polypropylene (PP) bags for 6 months. Some of the bags were artificially infested with cowpea bruchid Callosobruchus maculatus (F.) (PICS1, PP1) while others were not (PICS0, PP0). In an additional trial, PP bags containing the grains were treated with Actellic Super® dust before being artificially infested (PP1Ac). Moisture content, live adult C.maculatus count, grain damage, weight loss, and seed germination were determined on a monthly basis. …
Scattered Shade Trees Improve Low-Input Smallholder Arabica Coffee Productivity In The Northern Lake Kivu Region Of Rwanda,
2014
International Centre of Insect Physiology and Ecology Nairobi
Scattered Shade Trees Improve Low-Input Smallholder Arabica Coffee Productivity In The Northern Lake Kivu Region Of Rwanda, F. Pinard, J. M. Boffa, E. Rwakagara
All Peer-Reviewed Publications
In suboptimal conditions for coffee growth, the use of shade tree is usually considered beneficial to production. This study aimed to evaluate this benefit in the poorly documented East African smallholder Arabica coffee systems in optimal climatic but suboptimal management conditions. In a 4 year observational trial in 50 coffee farms, the association of shade trees and coffee generated an average 55 % cherry production increase. Neither delay in berry maturation nor buffer in alternate bearing patterns were observed, probably due to the low productivity of unfertilized coffee plants. Quality wise, the presence of shade trees did not result in …
Triple Bag Hermetic Storage Delivers A Lethal Punch To Prostephanus Truncatus (Horn) (Coleoptera: Bostrichidae) In Stored Maize,
2014
International Centre of Insect Physiology and Ecology Nairobi
Triple Bag Hermetic Storage Delivers A Lethal Punch To Prostephanus Truncatus (Horn) (Coleoptera: Bostrichidae) In Stored Maize, A. W. Njoroge, H. D. Affognon, C. M. Mutungi, J. Manono, P. O. Lamuka, L. L. Murdock
All Peer-Reviewed Publications
Clean shelled maize was stored in woven polypropylene (PP) or triple layer polyethylene (PICS™) bags in the presence of Prostephanus truncatus Horn (PP1; PICS1) or absence of it (PP0; PICS0) at ambient conditions for six months. Moisture content, live insect population, grain damage, weight loss, and germination were analyzed on a monthly basis. Temperature and relative humidity in both PICS- and PP-bag setups were monitored, as well as the oxygen and carbon dioxide levels in the PICS bags. Overall, maize stored in PICS bags had significantly lower (P<0.05) moisture content than maize stored in PP bags. Storage in PICS bag slowed growth of P.truncatus populations and blocked infestation from the surrounding storage environment. On the contrary, PP bags permitted profuse build-up of insect population and cross-infestation. At six months, grain damage was 0.0%, 3.4%, 50.5% and 73.9%, corresponding to weight loss of 0.0%, 2.0%, 36.3%, and 47.7% in PICS0, PICS1, PP0 and PP1, respectively. Germination of maize stored in PP bags dropped from 91.1% to 37.0% and 12.7% in PP0 and PP1, respectively, whereas germination of maize stored in PICS bags dropped only marginally and reached 78.1% and 71.0% in PICS0 and PICS1, respectively, in six months. Without extreme loss of grain viability, a huge decrease in insect infestation, grain damage and weight loss is achieved by storing maize in PICS bag even under P.truncatus endemic conditions. © 2014 Elsevier Ltd.
Evaluation Of Acaricide-Treated String Curtains For Control Of Two-Spotted Spider Mite Tetranychus Urticae Koch (Acari: Tetranychidae) On Greenhouse Roses And Impact Of The String Curtain On The Predatory Mite Phytoseiulus Persimilis Athias-Henriot (Acari: Phytoseiidae),
2014
Fonctionnement Agroécologique et Performances des Systèmes de Culture Horticoles (HortSys)
Evaluation Of Acaricide-Treated String Curtains For Control Of Two-Spotted Spider Mite Tetranychus Urticae Koch (Acari: Tetranychidae) On Greenhouse Roses And Impact Of The String Curtain On The Predatory Mite Phytoseiulus Persimilis Athias-Henriot (Acari: Phytoseiidae), Emilie M. Deletre, Romain Bonafos, Thibaud Martin
All Peer-Reviewed Publications
Foliar sprays of pesticides are frequently used to control two-spotted mites on rose flowers, but these also destroy predatory mites and pose a high risk of contamination for humans and the environment. Using a novel approach to avoid spray applications on rose plants, modified acaricide-treated string curtains were adapted to control the pest. Two main aims of this study were: (i) to identify the lethal concentration of string curtains treated with propargite, dicofol, flufenoxuron, acrinathrin or tau-fluvalinate (τ-fluvalinate) on Tetranychus urticae, and (ii) to test the design (feasibility) and efficiency of the string curtains to trap the phytophagous mites on …
Cumulative Effects And Economic Benefits Of Intercropping Maize With Food Legumes On Striga Hermonthica Infestation,
2014
International Centre of Insect Physiology and Ecology Nairobi
Cumulative Effects And Economic Benefits Of Intercropping Maize With Food Legumes On Striga Hermonthica Infestation, Charles A.O. Midega, Daisy Salifu, Toby J. Bruce, Jimmy Pittchar, John A. Pickett, Zeyaur R. Khan
All Peer-Reviewed Publications
The parasitic weed Striga hermonthica, commonly known as striga, is a major biotic constraint to maize production in sub-Saharan Africa (SSA) where it causes serious food insecurity and poverty in smallholder farming communities. We previously discovered an effective control method for it involving intercropping cereals with fodder legumes in the genus Desmodium, commonly known as desmodium. The objectives of the current study were to evaluate cumulative effects of intercropping maize with the commonly grown food legumes on striga infestation, and to establish any economic benefits of the same. Treatments comprised maize plots planted in monocrop stands or intercropped with five …
Icts For Agricultural Extension: A Study In Ratnagiri District Of Maharashtra, India,
2014
Edith Cowan University
Icts For Agricultural Extension: A Study In Ratnagiri District Of Maharashtra, India, Niketa Gandhi, Leisa Armstrong
Research outputs 2014 to 2021
This study describes an assessment of attitudes of farmers from the Lanja tehsil of Ratnagiri district of Maharashtra in order to understand the information seeking behavior and reasons for the farmers seeking this agricultural information through different sources. To meet the objective of the study, a structured questionnaire and interviews were conducted to gather information on number of aspects related to the use of Information and Communication Technologies (ICT) from 100 randomly selected framers. Additional semi- structured questionnaire and checklist was provided to the key stakeholders. The farmer based questionnaire sought demographic data, information requirement data and uses of ICT …
Web-Based Training In E-Agriculture For Agricultural College,
2014
Edith Cowan University
Web-Based Training In E-Agriculture For Agricultural College, Prachyanum Nilsook, Leisa Armstrong, Pornchai Taechatanasat, Tirtha Ranjeet
Research outputs 2014 to 2021
This paper presents a web-based training system in eAgriculture for agricultural college in Thailand. The eAgriculture contents consist of introduction to information and communication technology (ICT) for agriculture, information technology in agriculture, agricultural management information system and precision farming. The research shows that the majority users are highly satisfied with the developed web-based training system. The users favoured four factors of the system including the content of the website; technical media production; the designing and the formatting of the website; and benefits of its uses.
Application Of Cellular Neural Networks And Naive Bayes Classifier In Agriculture,
2014
Edith Cowan University
Application Of Cellular Neural Networks And Naive Bayes Classifier In Agriculture, Oluleye H. Babatunde, Leisa Armstrong, Jinsong Leng, Dean Diepeveen
Research outputs 2014 to 2021
This article describes the use of Cellular Neural Networks (a class of Ordinary Differential Equation (ODE)), Fourier Descriptors (FD) and NaiveBayes Classifier (NBC) for automatic identification of images of plant leaves. The novelty of this article is seen in the use of CNN for image segmentation and a combination FDs with NBC. The main advantage of the segmentation method is the computation speed compared with other edge operators such as canny, sobel, Laplacian of Gaussian (LoG). The results herein show the potential of the methods in this paper for examining different agricultural images and distinguishing between different crops and weeds …
Mobile Applications For Indian Agriculture Sector: A Case Study,
2014
Edith Cowan University
Mobile Applications For Indian Agriculture Sector: A Case Study, Pratik Shah, Niketa Gandhi, Leisa Armstrong
Research outputs 2014 to 2021
Government, private agencies and the general public are often interested in the decisions made by the Indian farmers as they have large influences beyond the farm boundary. Over many years, the process of adoption of new technologies and policies in the Indian agricultural sector has received considerable academic attention highlighting the role of many social, financial and other influences on their decision making. The Indian government and other development agencies promote income generating projects as a way of encouraging growth through increased agricultural production and the protection of the natural resource base. The impact of new technology to economic growth …
An Artificial Neural Network For Predicting Crops Yield In Nepal,
2014
Edith Cowan University
An Artificial Neural Network For Predicting Crops Yield In Nepal, Tirtha Ranjeet, Leisa Armstrong
Research outputs 2014 to 2021
This paper examines the application of artificial neural networks (ANNs) for predicting crop yields for an agricultural region in Nepal. The neural network algorithm has become an effective data mining tool and the outcome produced by this algorithm is considered to be less error prone than other computer science techniques. The backpropagation algorithm which iteratively finds a suitable weight value is considered for computing the error derivative. Agricultural data was collected from thirteen years from paddy field cultivation in the Siraha district, an eastern region in Nepal, and used for this investigation of neural networks. Additionally, climatic parameters including rainfall, …
Geospatial Data Pre-Processing On Watershed Datasets: A Gis Approach,
2014
Edith Cowan University
Geospatial Data Pre-Processing On Watershed Datasets: A Gis Approach, Sreedhar Nallan, Leisa Armstrong, Barry Croke, Amiya K. Tripathy
Research outputs 2014 to 2021
Spatial data mining helps to identify interesting patterns from the spatial data sets. However, geo spatial data requires substantial data pre-processing before data can be interrogated further using data mining techniques. Multi-dimensional spatial data has been used to explain the spatial analysis and SOLAP for pre-processing data. This paper examines some of the methods for pre-processing of the data using Arc GIS 10.2 and Spatial Analyst with a case study dataset of a watershed.
Decision Support System Data For Farmer Decision Making,
2014
Edith Cowan University
Decision Support System Data For Farmer Decision Making, Pornchai Taechatanasat, Leisa Armstrong
Research outputs 2014 to 2021
The capacity of farmers and agricultural scientists to be able to make in-season decisions is dependent on accurate climate, soil and plant data. This paper will provide a review of the types of environmental and crop data that can be collected by sensors which can used for decision support systems (DSS) or be further interrogated for real time data mining and analysis. This paper also presents a review of the data requirements for agricultural decision making by firstly reviewing decision support frameworks and agricultural DSSs, data acquisition, sensors for data acquisition and examples of data incorporation for agricultural DSSs.
A Network That Really Works - The Application Of Artificial Neural Networks To Improve Yield Predictions And Nitrogen Management In Western Australia,
2014
Edith Cowan University
A Network That Really Works - The Application Of Artificial Neural Networks To Improve Yield Predictions And Nitrogen Management In Western Australia, Jinsong Leng, Andreas Neuhaus, Leisa Armstrong
Research outputs 2014 to 2021
Yield predictions are notorious for being difficult due to many interdependent factors such as rainfall, soil properties, plant health, plant density etc. This study is based upon the author’s previously published work and extends its findings by further investigating the best mathematical solution to this dilemma. Artificial intelligence (AI) techniques have been applied to a large set of soil, plant, rainfall, and yield data from CSBP’s field research trial program. Here we further differentiate by investigate two ANN techniques, a genetic algorithm with back propagation neural networks (GA-BP-NN) and a particle swarm optimization with back propagation neural networks (PSO-BP-NN). Results …
Role Of Icts In Improving Drought Scenario Management In India,
2014
Edith Cowan University
Role Of Icts In Improving Drought Scenario Management In India, Shubhangi S. Wankhede, Niketa Gandhi, Leisa Armstrong
Research outputs 2014 to 2021
Drought is a natural phenomenon that affects social, economic and environmental sectors. It is caused due to low or no rainfall in the specific region and for some duration of time. Reduced soil moisture and ground water level are the other causes for drought. Based on its intensity, drought has impacts on various sectors like agriculture, transportation, forest fire, environment and many more. Agriculture is the major sector being affected by drought resulting in low crop production and having great detriment to economy of the country. In this paper, an attempt is made to study the different causes and effects …
A Survey Of Image Processing Techniques For Agriculture,
2014
Edith Cowan University
A Survey Of Image Processing Techniques For Agriculture, Lalit Saxena, Leisa Armstrong
Research outputs 2014 to 2021
Computer technologies have been shown to improve agricultural productivity in a number of ways. One technique which is emerging as a useful tool is image processing. This paper presents a short survey on using image processing techniques to assist researchers and farmers to improve agricultural practices. Image processing has been used to assist with precision agriculture practices, weed and herbicide technologies, monitoring plant growth and plant nutrition management. This paper highlights the future potential for image processing for different agricultural industry contexts.
Integrating Soil And Plant Tissue Tests And Using An Artificial Intelligence Method For Data Modelling Is Likely To Improve Decisions For In-Season Nitrogen Management,
2014
Edith Cowan University
Integrating Soil And Plant Tissue Tests And Using An Artificial Intelligence Method For Data Modelling Is Likely To Improve Decisions For In-Season Nitrogen Management, Andreas Neuhaus, Leisa Armstrong, Jinsong Leng, Dean Diepeveen, Geoff Anderson
Research outputs 2014 to 2021
This paper hypothesizes that there is value in combining soil, climate and plant tissue data to give more reliable advice on nitrogen top-ups in-season when compared with models that are currently available. The benefit of soil and climate data is to factor in N mineralisation and potential yield while plant test data is a more direct approach of yield estimates when considering firstly plant N uptake from the whole soil profile and secondly biomass (important yield component). Plant test data are closer to yield in time and space than soil test data, shortening the time period for any yield prognosis …
Respon Tanaman Kelapa Sawit Terhadap Bakteri Pelarut Fosfat Dan Bakteri Penambat Nitrogen Di Pembibitan Awal (Pre Nursery),
2013
Jurusan Budidaya Pertanian, Fakultas Pertanian, Universitas Padjadjaran
Respon Tanaman Kelapa Sawit Terhadap Bakteri Pelarut Fosfat Dan Bakteri Penambat Nitrogen Di Pembibitan Awal (Pre Nursery), Intan Ratna Dewi Anjarsari, Mochamad Arief Soleh, Erni Suminar
Jurnal Kultivasi
The objective of this experiment was to study response of oil palm seedlings in prenursery to Phosfat solubilizing bacteria and nitogen fixaxing bacteria. This experiment was conducted at experimental field, Jatinangor, KabupatenSumedang from April until October 2012. Experimental field located at altitude 753 m above sea level with rainfall C type according to the classification of Schmidt and Fergusson. Experimental design was the simple pattern of Randomized Design Group (RDG), consisting of twelve treatment and repeated three times. The treatment were Without inoculation; Azotobacter 20 mL/plant; BPF 20 mL/plant; 10 mL/plant BPF + 10 ml/plant Azotobacter; 10 mL/plant BPF + …
The Effects Of Salinity On Pythium Disease Of Rice And Soybean,
2013
University of Arkansas, Fayetteville
The Effects Of Salinity On Pythium Disease Of Rice And Soybean, Terea Jeanette Stetina
Graduate Theses and Dissertations
Increasing salinity is an important factor limiting agricultural productivity worldwide. In addition to direct effects on growth and yield, diseases also may be affected. This study characterized the effects of soil salinity on seedling disease of soybean and rice caused by Pythium spp. Controlled environment experiments on soybean used two cultivars which differed in chloride tolerance and soil treated with a CaCl2 solution to create a range of electrical conductivity (EC) levels. For soybean, soil was either not infested or infested with Pythium sylvaticum or P. aphanidermatum (pathogenic to soybean), or P. oligandrum (not pathogenic to soybean). Twenty-one days …
