International Journal of Agricultural Innovations and Cutting-Edge Research (HEC Recognised)

Innovating ‘AI-Kitchen Garden’ for Vegetable and Fruit Production for Canadian and US Markets

Masoom Ali — 2024-03-28

This research paper introduces, AI-Kitchen Garden, an innovative solution for indoor vegetable and fruit cultivation targeting commercialization in the Canadian and US markets for the product. The proposed system entails a 2-foot by 5-foot box equipped with advanced AI software, transforming it into an automated, AI-controlled greenhouse. The AI software monitors and manages the growth of vegetables within the box, providing essential elements such as heat, light, water, and appropriate environmental conditions tailored to each plant's needs. The system's automation extends to harvesting, where the AI software identifies ripe vegetables and autonomously picks them, depositing them in a tray outside the box while simultaneously issuing voice and text notifications via a monitor fixed inside the home or monitoring office. Furthermore, the system's versatility allows for the cultivation of short-height fruit plants in addition to vegetables. The AI software embedded in the box continuously assesses the clay's fertility and recommends adjustments as necessary, ensuring optimal growing conditions. Additionally, the system regulates water temperature to enhance plant growth further. This innovative solution not only streamlines indoor cultivation processes but also offers a sustainable and efficient method for producing fresh food in snowcapped areas like North America. Through this research, the potential for widespread adoption and commercial success of the automated AI-controlled greenhouse system in North American markets is explored and elucidated.

Enhancing Canadian Blackberries Production in New Brunswick through Climate-Smart Agriculture

Usman Cheema — 2024-03-30

This research paper focuses on the integration of digital technologies in Canadian Triple Crown blackberry production in New Brunswick to enhance productivity and adapt traditional farming practices to changing climate conditions. Drawing insights from recent studies such as "Application of digital technologies for ensuring agricultural productivity" and "Research and Innovation in Agriculture NBER," this paper explores the impact of innovation, research, and policies on agricultural advancements locally and globally. The specific innovative aspect highlighted is the application of artificial intelligence (AI) in precision agriculture to optimize crop management and resource allocation. The research methodology includes a systematic literature review of articles focusing on digital technologies in agriculture, with a particular emphasis on AI applications, tailored to the unique climate challenges faced by Canadian berry producers.

Agricultural Chromium Contaminated Water may Induced Hepatic Toxicity and their Amelioration by Morus nigra Fruit Extract

Sadia Suleman — 2024-03-30

The uneducated farmer does not know the chemical quality of soil and water which is used for irrigation. Sometimes the soil/water may contain some toxic chemicals, which may cause anomalies in their consumers. The present study reveals the histopathological and micrometric changes of hexavalent chromium Cr(VI) exposure and their ameliorations upon post-treatment of Morus nigra fruit pulp extract (M). Thirty male mice were equally distributed as control (C) without any treatment, chromium (Cr) and chromium morus (CrM) treated group, were given 50ppm Cr for 10 days in drinking water but the CrM group was additionally given 0.2ml M / 12 hourly for next 5days. Results indicate that Cr exposure leads to pathological signs in the hepatic architecture of hepatic cords and necrosis of the hepatocytes leading to fibrosis. The numbers, mean relative area and CSA of hepatocytes decreased while liver fractional weight, CSA of hepatocytes nuclei, central veins, sinusoidal spaces, and numbers of kupffer cells significantly increased in Cr treated group but there were signs of recovery like the hepatoblastic proliferation and rehabilitation of hepatic cords in CrM treated group. The histological, haematological, and statistically analyzed micrometric data show that post-treatment of M convincingly recovers the hepatic pathologies.

Climate-Smart Livestock Breeding: A Study of Holstein-Friesian Cattle in Canada and Pakistan

Maryam Vilr — 2024-03-31

Climate change poses significant challenges to livestock production worldwide, necessitating the adoption of climate-smart breeding practices to enhance the resilience of livestock populations. This study investigates climate-smart breeding practices in Holstein-Friesian cattle, a widely used breed in dairy production, in both Canada and Pakistan. This research aims to assess the current status of climate-smart breeding initiatives and their effectiveness in improving the resilience of Holstein-Friesian cattle to climate variability in these two contrasting environments. Methodologically, a Qualitative approach is employed, combining quantitative analysis of breeding data with qualitative analysis of articles, books, and lab data. The finding of the study showed that Canada places a strong emphasis on genomic technologies and advanced cross-breeding, producing robust Holsteins with great milk production. The findings of the study showed that the surrounding atmosphere has an immense impact on the productivity of the Holstein Friesian. Pakistan's inadequate infrastructure and resources make it difficult to carry out such efforts. Despite this, indigenous knowledge and customary breeding techniques have the potential to increase climate resistance. Although it depends on animal breeding, Pakistan's agriculture industry faces low productivity because of managerial problems. Cooperation between the two countries could improve knowledge sharing and increase Holstein cattle's ability to withstand climatic change. The study contributes to understanding the climate-smart breeding practice and highlights the significance of collaboration to enhance livestock production.

Conservational Strategies: A Study of Red Mulberry (Morus Rubra)

Amanet Al-Bazik — 2024-03-31

Red mulberry (Morus rubra) cultivation in Canada confronts multifaceted challenges, including habitat loss, climate variability, and intensification of agricultural practices, which collectively jeopardize its population and genetic diversity. This study investigates the conservation strategies employed for the protection and recovery of red mulberry populations across Canada. Through a comprehensive analysis of existing recovery plans, management initiatives, and research efforts, this research aims to assess the effectiveness of current conservation practices and identify areas for improvement. The research adopted qualitative methods i.e. descriptive and analytical methods are used for the synthesis of the literature review. For analysis, the content analysis method is applied. The research highlights the significance of long-term monitoring programs to track population trends, assess the success of conservation interventions, and adapt management strategies accordingly. The research endeavours to promote the sustainable conservation of this ecologically and culturally valuable species, ensuring its persistence for future generations.