scholarly journals Penerapan Teknologi Otomatisasi dalam Pertanian Agrotech Farm System

2021 ◽  
Vol 5 (6) ◽  
pp. 1361-1373
Author(s):  
Nurliana Nasution ◽  
Sri Utami Lestari ◽  
Mhd Arief Hasan
Keyword(s):  
Farm System

Kelompok Tani Katon Jaya Pekanbaru mengawali kesuksesan dari lahan milik mereka masing-masing yang dikelola bersama-sama anggota Kelompok Tani Katon Jaya Pekanbaru. Seiring dengan kepercayaan pihak Pemerintah Kota Pekanbaru, maka bapak Awaldi Hasibuan dan kelompok Tani Katon Jaya diberikan kepercayaan untuk mengelola lahan Agrowisata sebanyak 20 Hektar.  Hal ini menimbulkan permasalan baru di lahan kelompok tani Katon Jaya yang menjadi terbengkalai dalam mengelola lahan milik kelompok tani tersebut. Lahan mereka menjadi terbengkalai, tidak terurus karena harus fokus ke lahan utama di Kelurahan Agrowisata Kota Pekanbaru. Lahan kelompok tani, ada mmengalami kegersanggan dan ditumbuhi rerumputan serta menjadi lahan tidak produktif kembali. Pada hal lahan kelompok tani ini dulunya sering sekali dijadikan sebagai laboratorium mini untuk kunjungan-kunjungan dari beberapa pihak yang ingin belajar budi daya tanaman. Di lahan ini sering memberikan edukasi dan pembelajaran mengenai teknik pengelolaan budi daya tanaman yang baik. Sehingga masyarakat menjadi sadar akan pentingnya pengelolaan pertanian terutama di daerah perkotaan. Permasalahan prioritas yang menjadi kesepakatan bersama antara mitra dan perguruan tinggi diselesaikan secara bersama. Tahapan-tahapan tersebut diurakan sebagai berikut. Menghidupkan lahan pertanian Kelompok Tani Katon Jaya tersebut dengan memberikan bantuan berupa produk pertanian pangan (Sayur-Mayur). Memberikan solusi bantuan berupa pemasangan Alat Agrotech Farm System pada Kelompok Tani Katon Jaya. Memberikan Pelatihan Penggunaan Agrotech Farm System Kepada Kelompok Tani Katon jaya untuk menjadikan lahan mereka Edukasi Pertanian berbasis Teknologi. Luaran Penelitian ini berupa Video Dukumentasi Kegiatan (Youtube), Publikasi Media, Jurnal, Peingkatan Pemberdayaan Mitra, dan Buku Ajar.  

Quantifying the value proposition for white clover persistence on a New Zealand summer-dry hill-country farm

2020 ◽  
Vol 82 ◽  
pp. 199-209
Author(s):  
Mike B. Dodd ◽  
Katherine N. Tozer ◽  
Iris Vogeler ◽  
Rose Greenfield ◽  
David R. Stevens ◽  
...  
Keyword(s):  
White Clover ◽  
Net Present Value ◽  
Moisture Stress ◽  
Simulation Modelling ◽  
Low Fertility ◽  
System Modelling ◽  
Value Proposition ◽  
Hill Country ◽  
The North ◽  
Farm System

The improvement in forage quality and quantity of summer-dry hill country pasture resulting from the introduction of clover is well recognised. However, ensuring the persistence of the commonly availablecultivars is challenging, in the face of seasonal moisture stress, intensive grazing, competition from established well-adapted pasture species, low soil fertility and low soil pH – conditions typical of the East Coast of the North Island. Here we quantify the value proposition associated with the introduction of white clover into a case study on a Gisborne sheep and beef farm, using a six-step process. A topographically explicit approach is taken, using an understanding of the underlying spatial variability, based on a combination of soil and pasture measurements, APSIM simulation modelling of pasture growth and farm system modelling of enterprise performance. We show that from a baseline of a typical low-fertility, diverse species hill country pasture, white clover introduction can increase spring and summer forage consumption by 17%, enabling inclusion of an additional 6-month bull finishing enterprise generating a 32% greater carcass weight production and leading to a 49% improvement in farm system EBIT. This represents a positive net present value of over $360,000 for the original investment in white clover establishment into existing pastures.

Measuring the cost of environmental compliance for Waikato dairy farmers - a survey approach

2015 ◽  
Vol 77 ◽  
pp. 159-166
Author(s):  
T.O.R. Macdonald ◽  
J.S. Rowarth ◽  
F.G. Scrimgeour
Keyword(s):  
Qualitative Data ◽  
Management Practice ◽  
Dairy Farm ◽  
Environmental Compliance ◽  
Dairy Farmers ◽  
The Past ◽  
Farm Systems ◽  
The Cost ◽  
Farm System ◽  
Survey Approach

The link between dairy farm systems and cost of environmental compliance is not always clear. A survey of Waikato dairy farmers was conducted to establish the real (non-modelled) cost of compliance with environmental regulation in the region. Quantitative and qualitative data were gathered to improve understanding of compliance costs and implementation issues for a range of Waikato farm systems. The average oneoff capital cost of compliance determined through a survey approach was $1.02 per kg milksolids, $1490 per hectare and $403 per cow. Costs experienced by Waikato farmers have exceeded average economic farm surplus for the region in the past 5 years. As regulation increases there are efficiencies to be gained through implementing farm infrastructure and farm management practice to best match farm system intensity. Keywords: Dairy, compliance, farm systems, nitrogen, Waikato

Irregular Wave and Current Loads on a Fish Farm System

2018 ◽  
Author(s):  
Arnt G. Fredriksen ◽  
Basile Bonnemaire ◽  
Øyvind Nilsen ◽  
Leiv Aspelund ◽  
Andreas Ommundsen
Keyword(s):  
Particle Velocity ◽  
Fish Farm ◽  
Fluid Particle ◽  
Irregular Waves ◽  
Engineering Practice ◽  
Irregular Wave ◽  
Environmental Force ◽  
The Mean ◽  
Particle Velocities ◽  
Farm System

Accurate calculation of the design mooring loads on an aquaculture fish farm mooring system is often a difficult task. The fish farm system has a large horizontal extension with variable environmental conditions across the entire structure. In addition, the drag loads on the fish nets are thought to be the governing environmental force. This means that the mean position of the fish farm is a function of the mean of the fluid particle velocity squared, where the fluid particle velocity must be taken as the sum of current and wave induced fluid particle velocities. Additional offsets will be slowly varying, where the response time will depend on the total mooring stiffness. The magnitudes depend on the height and length on wave groups in the irregular sea state. The paper presents simulations of the response of such a system to a set of combined irregular waves and current conditions. The response evolution in time is discussed as well as parameters affecting the maximum responses in the systems (displacements and loads). Finally, the resulting loads on the fish farm in irregular waves are compared to loads obtained in equivalent regular waves, as this is an often used engineering practice when analyzing the response and mooring loads of a fish farm.

Linking Land Use Capability classes and APSIM to estimate pasture growth for regional land use planning

Soil Research ◽  
2016 ◽  
Vol 54 (1) ◽  
pp. 94 ◽  
Author(s):  
Iris Vogeler ◽  
Rogerio Cichota ◽  
Josef Beautrais
Keyword(s):  
Land Use ◽  
New Zealand ◽  
Land Use Planning ◽  
Management Practices ◽  
Growth Patterns ◽  
Land Resource ◽  
Pastoral Systems ◽  
System Models ◽  
Farm System ◽  
The Impact

Investigation of land-use and management changes at regional scales require the linkage of farm-system models with land-resource information, which for pastoral systems includes forage supply. The New Zealand Land Resource Inventory (NZLRI) and associated Land Use Capability (LUC) database include estimates of the potential stock-carrying capacity across the country, which can be used to derive estimates of average annual pasture yields. Farm system models and decision support tools, however, require information on the seasonal patterns of pasture growth. To generate such pasture growth curves (PGCs), the Agricultural Production Systems Simulator (APSIM) was used, with generic soil profiles based on descriptions of LUC classes, to generate PGCs for three regions of New Zealand. Simulated annual pasture yields were similar to the estimates of annual potential pasture yield in the NZLRI spatial database, and they provided information on inter-annual variability. Simulated PGCs generally agreed well with measured long-term patterns of seasonal pasture growth. The approach can be used to obtain spatially discrete estimates of seasonal pasture growth patterns across New Zealand for use in farm system models and for assessing the impact of management practices and climate change on the regional sustainability.

277 Evaluation of average daily gain predictions by the integrated farm system model for forage-finished beef steers

2017 ◽  
Vol 95 (suppl_4) ◽  
pp. 137-137
Author(s):  
J. A. Dillon ◽  
D. D. Harmon ◽  
C. A. Rotz ◽  
D. W. Hancock
Keyword(s):  
Average Daily Gain ◽  
System Model ◽  
Beef Steers ◽  
Farm System ◽  
Daily Gain

Energy Storage Control Based on Wind Farm

2012 ◽  
Vol 268-270 ◽  
pp. 933-936
Author(s):  
Xiao Dong Wang ◽  
Jin Hua Zhu ◽  
Ying Ming Liu ◽  
Hong Fang Xie
Keyword(s):  
Energy Storage ◽  
Wind Farm ◽  
Storage System ◽  
Energy Storage System ◽  
Network Capacity ◽  
Vanadium Redox Flow Battery ◽  
Energy Management Strategy ◽  
Storage Unit ◽  
Energy Storage Unit ◽  
Farm System

With the increase in wind power generation and network capacity, Wind farm power fluctuations on the grid greatly. In order to improve the operational stability of wind farm grid, at its outlet to increase the energy storage system for the new environmentally friendly vanadium redox flow battery (VRB) to effectively regulate the grid power. According to the VRB equivalent mathematical model using a bidirectional DC/AC converter as VRB storage system power regulator, the corresponding charge discharge control and energy management strategy are designed , and grid-connected wind farm system with VRB energy storage unit are modeled and simulated. Simulation results show that the fluctuations in wind speed Circumstances, the VRB energy storage system can quickly and effectively smooth the fluctuations of the active power of the wind farm output, and can provide reactive support to the grid, effectively improve the operating performance of wind farm.

scholarly journals Pasture species and drought impacts on milk yield 2. Predicted farm milk yield at four sites

1998 ◽  
pp. 45-50 ◽  
Author(s):  
D.J. Barker ◽  
D.A. Clark ◽  
E.R. Thom ◽  
J.N. Couchman ◽  
R.N. Burton ◽  
...  
Keyword(s):  
Water Deficit ◽  
Milk Production ◽  
Milk Yield ◽  
Seasonal Pattern ◽  
System Modelling ◽  
Milk Supply ◽  
Increase Milk Production ◽  
Growth Differences ◽  
Highly Correlated ◽  
Farm System

A desirable option for increasing milk yield per farm is to increase milk production in summer without compromising peak-season production or the duration of lactation. The dairy industry has a goal to achieve a 4% per month post-peak decline of milk production. The effect of five pasture types and two summer water regimes on predicted farm milk yield, in Northland, Waikato, Manawatu and Canterbury was measured over 1 year. Two pasture treatments, resident pasture and Grasslands Nui ryegrass, were common to all sites. A third pasture treatment varied between sites: triple mix (Grasslands Advance tall fescue, Grasslands Kara cocksfoot, and Grasslands Maru phalaris) at the Manawatu site; the same triple mix but with Grasslands Raki paspalum at the Northland site; and low-endophyte ryegrass and Grasslands Kahu timothy (LER) at the Canterbury site; all sown treatments included red and white clover. All five pasture types were included at the Waikato site. On average for all pasture types, water deficit reduced summer herbage accumulation (HA) to 79, 68, 43 and 18% of irrigated controls, and annual HA to 88, 80, 73 and 63% of irrigated controls in Northland, Waikato, Manawatu and Canterbury, respectively. Since farm milk yield predicted by UDDER was highly correlated with annual HA (R2 = 83%), the effects of pasture type and water deficit on milk yield were similar to effects on HA. Seasonal and annual HA differed among the five pasture types at each of the four sites. The most important factor affecting predicted farm milk yield was annual HA, with relatively little effect from the seasonal pattern of pasture growth. Differences in shapes of the predicted milk supply curves for various treatments occurred, particularly when drought forced early drying-off. The best predicted summer milk yield was for the Canterbury irrigated LER pasture treatment, a 6.8% per month postpeak decline of milk production. Keywords: farm milk yield, farm system modelling, forage supply, pasture species, water deficit

scholarly journals Towards the integrated assessment of New Zealand pastoral farm systems

2016 ◽  
Vol 78 ◽  
pp. 103-108
Author(s):  
M.B. Dodd ◽  
D.R. Stevens
Keyword(s):  
New Zealand ◽  
Integrated Assessment ◽  
Complex Adaptive System ◽  
Natural Capital ◽  
Resource Owner ◽  
Farm Systems ◽  
Complex Adaptive ◽  
Land Use And Management ◽  
Farm System ◽  
The Impact

Land use and management change is a feature of New Zealand farm systems, driven by a range of factors including volatile markets and exchange rates, variable weather and climate patterns, continuous policy evolution and the inherent innovation of New Zealand farmers. Yet the common indicators used to evaluate the impact of change appear to be limited to the link between productivity (of land/labour/capital) and profitability. However, if farm system "owners" seek truly sustainable systems they should consider a wider set of indicators to guide investment. Sustainability is considered in terms of the ability of the pastoral farm system to fulfil its primary purpose in the long-term, i.e. "to derive value from the natural capital of a land and water resource that is sufficient to support the objectives of the resource owner" and fulfil secondary objectives considered important by other stakeholders (e.g., product and environmental quality). The objective of this study was to develop an integrated assessment framework for sustainability indicators that was useful for guiding change decisions at the farm system scale, a key determinant of regional economic, environmental and social outcomes. The approach is based on the fundamental properties of a complex adaptive system: existence, effectiveness, freedom of action, security, adaptability and coexistence, applied to six key system drivers (financial, environmental, social, cultural, technological and regulatory). This framework could support decision-making in terms of the investment of human, natural and financial capital at the farm system scale and contribute to larger scale information imperatives (e.g., value chains, catchments). Keywords: integrated assessment, pastoral farm systems, sustainability, systems properties

scholarly journals Using bio-manipulation to optimise nutrient management within intensive farm systems

2021 ◽  
Author(s):  
Vito Abbruzzese
Keyword(s):  
Nutrient Availability ◽  
Nutrient Management ◽  
Biological Properties ◽  
Retention Capacity ◽  
Know How ◽  
System P ◽  
Livestock Farms ◽  
Farm System ◽  
The Impact

The research project aims to enhance organic nutrient management in livestock farms using microbial and enzyme inoculations, with a particular focus on the phosphorus biogeochemical cycle. In order to do this the first approach consists of characterising the chemical and biological properties of farm slurries as a baseline to evaluate possible amendments of the intrinsic properties of the slurry. Consequently, it is pivotal to consider properties such as plant nutrients, i.e., phosphorus, nitrogen and potassium, as well as the microbial community within the slurry. Likewise, attention needs to be paid to soil chemical and biological properties, e.g. pH, salinity and organic matter, as well as to the variety of organisms inhabiting the soil, in order to determine the impact of inoculation on phosphorus cycling and nutrient availability for plant use. Furthermore, it is important to know how soil and its productivity may be influenced by the addition of the inoculated slurry. Of particular interest are also the soil properties which have an effect on plant growth. The pH of soil and, notably, nutrient availability and retention capacity are some of the features on which to direct the research in order to assess the quality of soil and, as a result, the production of a grass crop in livestock farms. The characterisation of these properties will be performed using a variety of approaches, beginning with analysis at laboratory- and mesocosm-scales and progressing to a fieldwork approach in order to evaluate the results directly in a farm system.

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