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Agricultural technology can enable farmers to grow more food, but questions remain about how to get farmers to adopt new technologies and more efficient farming methods.
The conclusion proposes what may be agricultural extension's challenges ahead.
In addition, the labor market is functioning to allocate the more educated to better-paid jobs, but has yet to produce higher returns to education in non-agricultural sectors than in the agricultural sector.
The using of IT directly decides the degree of agricultural informatization and efficiency of agricultural supply chain management.
that the degree should provide a broad spectrum of cormnunicaUon and agricultural subject areas.
This requires further development of non-agricultural jobs in rural areas.
Due to unique institutional and technological factors, seasonal agricultural jobs are characterized by much higher risk of unemployment than similar permanent jobs.
This means that developing RNF jobs cannot be done at the expense of programs promoting agricultural development.
The notions that students with limited academic abilities can succeed in an agricultural occupation, and that agricultural education is for someone else’s child, are two frequently stated misconceptions about agricultural education (Warmbrod, 1968).
We show that countries where crop diversity increased also supported more agricultural jobs.
We argue that an understanding of what produces satisfied agricultural technicians is important in its own right, but is also important for indirectly increasing agricultural production in these developing countries.
Too fine a distinction, therefore, will not be drawn between agricultural and nonagricultural jobs on the farm or even between employment "in agriculture" and employment which grows out of agricultural enterprise.
The surveys show significant differences between what competences agricultural employers require of graduates and the competences they acquire during their agricultural engineering degree courses.
Policy makers in the agricultural sector are confronted with challenges which might drive land use change and ultimately agricultural profitability to a substantial degree.
As this agricultural policies in a new decade, it will really give you the good idea to be successful.
Those charged with managing agricultural education can learn from examining anew what their institutions teach students about business management, and questioning whether they really practise what they preach.

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How does agricultural waste impact the environment and public health in India?
5 answers
Agricultural waste, particularly crop residues, significantly impacts the environment and public health in India. Improper management of agricultural waste leads to air pollution, global warming, smog, and climate change due to the release of toxic pollutants like methane, carbon dioxide, and sulphur dioxide into the atmosphere. Crop residue burning destroys soil nutrients, reduces fertility, and increases the prevalence of disease-causing pests in crops. The burning of crop waste releases excessive particulate matter, contributing to air pollution and threatening human health. To mitigate these issues, sustainable solutions like composting, biochar production, and mechanization are recommended to preserve soil nutrients and reduce environmental impact. Efforts by the Indian government to promote environmentally friendly waste management practices are ongoing but face challenges in implementation.
Is there a correlation between La Nina weather events and production of wheat in Australia?
4 answers
Yes, there is a correlation between La Niña events and wheat production in Australia. La Niña strongly influences rainfall and temperature patterns in Eastern Australia, impacting wheat phenology and productivity due to frost, heat, and drought stresses. La Niña climate effects in the region, combined with early and sustained rainfall, are contributing to a potentially record-breaking mosquito season in Australia. La Niña events have been shown to have a negative impact on wheat yield anomalies, exports, and stock-to-use ratios globally, with a stronger effect during La Niña compared to El Niño. Therefore, La Niña events can significantly affect wheat production in Australia and worldwide, highlighting the importance of understanding and adapting to these climate phenomena for agricultural sustainability.
Annual family income in the Philippines?
4 answers
The annual family income in the Philippines varies significantly due to factors such as income mobility, remittances, and poverty levels. Studies show that income mobility in Filipino households is less stagnant than perceived, with both positive and negative mobility offsetting each other, contributing to slow income growth at the aggregate level. Remittances play a crucial role in the country's economy, with the Philippines being one of the world's largest recipients. In 2012, remittances accounted for nearly 12% of the country's GDP, highlighting their substantial impact on household income. Additionally, poverty estimates heavily rely on data from surveys like the Family Income and Expenditure Survey (FIES), which provides detailed information on Filipino families' income and expenditures, aiding in monitoring poverty levels and understanding household income dynamics.
The performance comparison tells machine learning better than deep learning in predicting drought using regression in a specific study?
5 answers
The comparison of machine learning and deep learning models for drought prediction in the provided studies indicates that deep learning models, specifically LSTM, outperformed other models like VAR and Prophet in predicting drought severity using regression techniques. However, deep learning models, such as DenseNet and ResNet, have shown promising results in classifying drought stages with an accuracy of 70% in a different study. While machine learning models were evaluated alongside deep learning models in drought prediction, no single model was found to consistently outperform others, highlighting the ongoing challenge in accurately predicting drought using regression techniques. Therefore, the effectiveness of machine learning versus deep learning in drought prediction using regression may vary depending on the specific context and the type of prediction task.
Is the murray darling using all of the water affectively?
5 answers
The Murray-Darling Basin (MDB) faces challenges in effectively managing its water resources. Historically, water resource development focused on consumptive uses, impacting environmental ecosystems. Water markets in the MDB have triggered shifts in water allocation, particularly during droughts, with improvements in technology partially offsetting water-intensive sector shifts. Agriculture dominates water consumption in the MDB, accounting for 96% and contributing significantly to Australia's agricultural production. Policy instruments like voluntary buybacks are cost-effective for obtaining environmental water, highlighting the economic implications of water management strategies in the Basin. The MDB's water governance complexities underscore the need for ongoing research and praxis initiatives, such as dramaturgy, to enhance effective water governance in the region.
Give the research papers monitoring agriculture areas with satellite images ?
4 answers
Satellite imagery is extensively utilized for monitoring agricultural areas. Various studies highlight the significance of satellite technology in agriculture. Wang et al. emphasize the use of remote sensing, including satellite imagery, for real-time monitoring of agro-ecosystems. Ellis et al. focus on monitoring wheat crop cultivation and harvesting using Sentinel-2A satellite images, aiming to develop a Machine Learning-based Smart Agriculture System. Additionally, a systematic review of 150 studies by multiple authors underscores the effectiveness of deep learning on satellite imagery for agricultural research, particularly in tasks like crop segmentation and yield prediction. Furthermore, a survey paper discusses the evolution of satellite technology in agriculture, highlighting its role in predicting crop yield across different regions. These papers collectively demonstrate the pivotal role of satellite images in monitoring and enhancing agricultural practices.
What are the challenges encountered by the alternative learning system learners in Davao region?
4 answers
The challenges encountered by alternative learning system (ALS) learners in the Davao region include issues related to online connectivity, lack of learning resources, vague module contents, overloaded remote learning tasks, poor learning environment, and mental health problems. Additionally, students face challenges such as the lack of appropriate devices, limited interaction with teachers and peers, and the need for effective utilization of video-conferencing software and digital tools for effective learning in the HyFlex modality. Moreover, ALS learners in diverse settings encounter persistent challenges despite recent progress, necessitating a comprehensive understanding of their status, needs, and unique circumstances to develop an effective support system for empowerment. These challenges highlight the importance of addressing the digital and educational disparities faced by ALS learners in the Davao region.
How to sprout ragi?
5 answers
To sprout ragi, follow these steps: Rinse the ragi grains thoroughly and soak them in water for about 8-12 hours. Drain the water and transfer the soaked ragi to a damp cloth or sprouting tray. Keep the ragi covered with a damp cloth and allow it to sprout for 12-24 hours, ensuring to rinse and drain the grains every 8-12 hours. Sprouted ragi is a valuable component in weaning food mixes, providing high levels of protein, fiber, and fat. Ragi, also known as finger millet, is a highly nutritious cereal rich in calcium, iron, protein, and fiber, making it a gluten-free and easily digestible food option. Sprouting enhances the nutrient bioavailability of ragi, making it a healthy choice for various culinary preparations.
What are the most common methods used in weed control?
5 answers
The most common methods used in weed control include chemical, mechanical, manual, and non-chemical methods. Chemical methods are popular due to accessibility and cost-effectiveness, but non-chemical alternatives are gaining importance globally, especially with increasing environmental and health awareness. Mechanical weeding, such as using tools powered by animals, is effective in saving time and labor costs while maintaining soil health. Non-chemical methods like electric current, microwave heating, and superheated steam are also being researched extensively for weed control, offering environmentally friendly solutions without leaving chemical residues in soil and plants. Additionally, innovative tools like automatic string-winding weed trimmers are being developed to enhance efficiency in mechanical weed control.
What are the specific effects of water deficit on the productivity of corn crops?
5 answers
Water deficit significantly impacts the productivity of corn crops by reducing growth, gas exchange, yield, and quality. Studies show that a 50% reduction in irrigation depth can severely restrict corn growth and decrease grain yield by up to 38%. Water deficits imposed at specific growth stages, such as V6–VT and VT–R2, lead to decreased plant growth rate, limited ear growth, and lower fresh ear yield, along with adverse effects on grain quality. Additionally, deficit irrigation can improve water productivity without significantly affecting crop production, with a 15% deficit resulting in maximum yield and a 60% deficit leading to maximum water productivity. Spatial and temporal variations in crop water productivity under different irrigation scenarios further highlight the impact of water stress on corn productivity.
Does geographic location (URBAN OR RURAL AREA) influence Students performance in Social Studies?
5 answers
Geographic location, whether urban or rural, significantly impacts students' academic performance in various subjects, including Social Studies. Studies from Iceland, Bangladesh, and Alabama highlight the disparities in educational outcomes between rural and urban students, emphasizing factors like parental education, income, and social status. Research in Muleba District also reveals that the geographical distance from home to school can lead to negative effects on academic performance, such as absenteeism and dropout rates. Furthermore, a study in Puttur mandal, India, demonstrates a significant influence of gender and locality on the academic achievement of secondary school students in Social Studies. Therefore, it is evident that geographic location plays a crucial role in shaping students' performance in Social Studies.