Production Technology Of Paddy And Direct Seedling - amazonia.fiocruz.br

Production Technology Of Paddy And Direct Seedling Video

Module-1: Introduction to Direct Seeded Rice (DSR)

Production Technology Of Paddy And Direct Seedling - are not

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Project Director Brennan, JA. Performing Department Animal Science. Non Technical Summary The advent of precision agricultural systems has resulted in a new era of big data with the goal of increasing efficiencies in crop production.

Prodution advances have been made in precision livestock management, much of the work has primarily been conducted on dairy operations or within feedlot settings; incorporation into rangeland livestock production systems has been much slower.

This is largely attributed to difficulties in studying individual animals and plant communities on grasslands due to heterogeneity of forage resources, variable environmental conditions, and challenges associated with accessing information across vast distances, often without Prodduction or internet access. In addition, animal production on extensive rangelands is not conducive to intensive data collection because the resources are harvested by grazing animals and not by machines on which sensors are easily mounted. Decreasing profit margins and increased farm stress threat the livelihoods of livestock producers. As margins decrease, farm stress increases, contributing to the lack of work-life balance that this web page exist in agricultural households.

Many of the factors that contribute to farm stress e. Anthropogenic climate change is projected to include increasingly variable precipitation regimes, with less frequent and more intense rainfall events.

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The ability of producers to sustainably manage grasslands will requirenew technologies that enablethemto reduce labor needs while simultaneouslystrengthening theirresiliencyto climate variability. Advances in technology can enable producers and researchers to target supplementation regimens to meet desired body weight targets of each individual in a herd, thereby improving nutritional efficiency and reproductive performance, and reducing feed costs. Technology has the potential to improve ranch efficiency and producer decision making processes, thereby impacting profit margins, work-life balance, ranch sustainability, and natural resource management. Analytics for precision livestock management often focus on data collection and interpretation, with very few examples of integration of information into decision-making models.

The incorporation of AI, automated detection systems, and decision making algorithms into rangeland and animal production systems has the potential to transform this industry. This can include automating simple routine on ranch tasks such utilizing sensor technology to check water sources, real-time tracking of individual animal performance and behavior, and developing complex decision making algorithms to adjust supplementation based on individual animal nutritional needs.

By incorporating AI into rangeland production systems, we can improve work-life balances for producers within the NGP, increase ranch profitability, and improve grassland management reducing the environmental impact of beef production.]