Agri-Bio Innovations Across the Globe: A Comprehensive Review

Shreya Singh and Sudhanand Prasad Lal

AgriBio Innovations 2024, 1(1): 01-08

INTRODUCTION

The current farming upheaval is being driven by innovation and information research, and it appears to have enormous potential for improved efficiency as well as monetary success (Himesh et al., 2018). To guarantee worldwide food security, innovation mediations in the rural business are turning out to be progressively unmistakable and exact. The computerized farming transformation is arising concurrently with the fourth modern upheaval, or ‘Industry 4.0,’ and has been seen as somewhat important to Indian agriculture following the green unrest, because these advanced advancements offer new opportunities to remember smallholders for a carefully determined agrifood framework (Chand and Singh 2023). It involves applying inputs in the fields utilizing information examination from information driven frameworks, guaranteeing exact organization of water, supplements, composts, and different synthetic compounds when and where they are required thus guaranteeing manageability (Chandra and Collis 2021). Right now, the worldwide accuracy cultivating market size is esteemed at USD 6.96 billion and is supposed to extend at a pace of 12.8% somewhere in the range of 2022 and 2030. Albeit in the ongoing status of accuracy agriculture, there are a few issues, for example, impractical asset use, long haul monoculture, serious animal cultivating, natural trade-offs, lopsided circulation of digitization, sanitation issues, wasteful agri-food production network, and absence of familiarity with and dormancy toward novel changes (Trendov et al., 2019). These issues forestall accomplishing effectiveness, efficiency, and supportability from agrarian creation and raise accidental effects on biological systems.

MATERIAL AND METHODS
Methods for evaluating secondary sources are the subject of this systematic study, which aims to analyze and synthesize that research. According to Srivastava and Lal (2021); Kumar et al. (2022); Lal et al. (2023), secondary data analysis is the process of analyzing data that has been gathered by other researchers in the past and researchers adds value to a primary source. Many different databases, such as Google Scholar, IEEE Xplore, PubMed, Research Gate, Science Direct, Taylor & Francis, Elsevier, and Springer Nature, were searched in order to conduct an exhaustive literature search (Arya et al., 2023; Arya et al., 2024).

RESULT AND DISCUSSION
A. Biotechnology Innovations

(i) Gene-Editing Technologies.
Genome Editing techniques have upset crop rearing in numerous researchers who perform genome Editing currently use CRISPR. Specialists presently ordinarily use CRISPR to control the genome for various applications, including practical genomics, diagnostics, DNA imaging, and therapeutics. CRISPR-Cas9 innovation caused a significant mix in the field of genome designing when it was first portrayed as an Editing device in 2012, and it has gained surprising headway in the mediating years. From that point forward, researchers have gone through many years attempting to uncover ways of editing the genome that offset explicitness with time and cost (Public Human Genome Exploration Foundation (NHGRI, 2019). Here are the 7 fruitful methodologies that researchers have used to adjust DNA up to this point (Fig. 1, 2 & Table 1).

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Fig. 1. Factor influencing Agri –bio innovation.

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Fig. 2. Top 12 global agri–bio innovation.

 

Table 1: Evolution of Gene-Editing Techniques with Key Features, Inventors, and Year of Discovery (Mah & Robers 2022).

Technique Key Features Year
Restriction Enzymes Recognize specific DNA sequences and cut at those sites, allowing DNA insertion. Widely used in molecular cloning and DNA mapping. 1970s
Zinc Finger Nucleases (ZFNs) Fusion of FokI nuclease with zinc finger domains for site-specific DNA cutting. Used in HIV therapy and cancer treatment. 1980s
TALENs Use transcription activator-like effectors for single-nucleotide resolution. Improved specificity but high cost and complexity. 2011
CRISPR-Cas9 RNA-guided nuclease for precise and customizable DNA cutting. Revolutionized genome editing with high efficiency and accessibility. 2012
Base Editing Uses a catalytically dead Cas9 fused with DNA deaminases to induce single nucleotide substitutions without double-strand breaks. 2016
Prime Editing Combines Cas9 nickase with reverse transcriptase to allow insertions, deletions, and all transition mutations without double-strand breaks. 2019
PASTE Integrates large DNA sequences into genomes using serine integrase and prime editing, avoiding double-strand breaks. 2022

Certain example demonstrated gene-editing applications globally and in India:
•Global Example:

— Golden Rice, fortified with Vitamin A, has been developed to combat malnutrition.
— Arctic Apples: Engineered using gene-editing to prevent browning, enhancing shelf life and reducing food waste.
— Drought Guard Maize: Developed by Monsanto, this maize variety is genetically modified to tolerate drought conditions, improving yields in water-scarce regions.

(ii) Biofertilizers and Biopesticides. The expression “Biofertilizer”, additionally named as bioinoculants or bioformulations, envelops natural items containing advantageous microorganisms as dynamic or dormant structures, ready to store the rhizosphere or the interior tissues of plants (Chaudhary et al., 2022; Allouzi et al., 2022; Nosheen et al., 2021). These microorganisms upgrade a plant’s development capacity to take-up fundamental supplements like nitrogen, phosphorus, and potassium, advancing supplement accessibility and take-up limit, which brings about expanded crop yields. In the first place, the easiest arrangement depends on the kind of microorganism utilized, essentially microbes and organisms, albeit the utilization of microalgae has been on the ascent lately. biofertilizers envelop a few gatherings of microorganisms, including nitrogen-fixing microbes; microorganisms fit for solubilizing fundamental supplements like phosphorus, potassium, or zinc; siderophore makers; natural corrosive originators; sulphur oxidizers; phytohormone makers; and plant development advancing rhizobacteria (Table 2).
Bio-pesticides are serious subclass of pesticides that are normally happening living beings or mixtures that stifle the development and multiplication of vermin’s populace by assorted instruments of activity, barring those that impede irritations’ sensory systems. They are ordered into three gatherings: microbial biopesticides, biochemical biopesticides, and PIPs. Models incorporate rejuvenating balm, semiochemicals, plant development advancing controllers, bug development controllers, auxiliary metabolites, and regular minerals.

Table 2: Comparison of Chemical Inputs and Biological Inputs in Agriculture.

Parameter Chemical Inputs Bio Inputs
Environmental Impact High, causing pollution and biodiversity loss Minimal, eco-friendly, and non-toxic
Cost Relatively high due to repeated applications Economical, often with longer-lasting effects
Soil Health Degrades over time, causing soil infertility Enhances soil fertility and microbial activity
Sustainability Unsustainable, with long-term negative impacts Highly sustainable and promotes regeneration
Effectiveness Quick and immediate results Gradual but long-term benefits
Residue Concerns Leaves harmful residues in crops and soil Residue-free and safe for consumption
Pest Resistance High potential for pest resistance development Less likelihood of resistance development
Water Quality Impact Contributes to water contamination and eutrophication Safe for water systems and prevents pollution
Health Risks Can pose risks to human health (e.g., cancer, toxicity) Safe for humans and animals
Regulatory Challenges Strict regulations due to environmental risks Fewer regulatory hurdles
Adaptability Limited adaptability to changing climates Adaptable and effective in diverse environments
Biodiversity Impact Harmful to non-target organisms and pollinators Supports biodiversity and beneficial organisms
Storage and Handling Requires careful storage and handling Easier and safer to store and handle
Carbon Footprint High, due to manufacturing and transport Low, often produced locally and sustainably
Long-Term Productivity Declines due to soil and pest issues Sustains productivity through natural balance

B. Precision Agriculture
Precision agriculture utilizes state of the art advancements to increment farming efficiency while decreasing unfriendly effects on the climate utilized as the board system for tending to geological and transient fluctuation in agrarian fields that includes information and contemporary innovations. Precision agriculture is a cultivating approach that utilizations trend setting innovation and information investigation to boost crop yields, cut waste, and increment efficiency. It is a possible technique for handling a portion of the significant issues standing up to contemporary agriculture, like taking care of a developing total populace while diminishing ecological impacts. Precision cultivating was brought into the world with the presentation of GPSs (worldwide situating frameworks), GISs (geographic data frameworks), yield screens, and different information generators like Web of Things (IoT), large information, computerized reasoning (computer-based intelligence), advanced mechanics, and blockchain innovation in all are critical periods of agrarian activities (Filipe et al., 2020; Liu et al., 2021). Here are the absolute most recent patterns in agriculture innovation which are anticipated to all around the world impacting cultivation.

(i) Drones in Agriculture. Remote detecting has been viewed as a mechanical device with high potential to work on shrewd and accuracy agriculture. Satellites, human-manned airplane, and robots are famous remote-detecting advancements. Drones, famously known as Unmanned Aerial Vehicles (UAVs), Unmanned Aircraft Systems (UAS), and remotely directed airplane, are vital as they enjoy different benefits in correlation with other remote-detecting advancements. All in all, drones can shower water and pesticides in exact sums in view of ecological information. The advantages of robots in agribusiness are summed up beneath (Table 3).

Table 3: Main benefits of drones in agriculture (Rejeb et al., 2022).

Sr. No. Benefit
1. Enhance temporal and spatial sensing resolutions
2. Facilitate precision agriculture
3. Classification and scouting of crops
4. Usage of fertilizer
5. Monitoring of drought
6. Biomass estimation
7. Yield estimation
8. Disaster reduction
9. Conservation of wildlife and forestry
10. Assessment of water stress
11. Pest, weeds, and disease detection

(ii) Global Navigation Satellite Systems (GNSS). Global Navigation Satellite Systems (GNSS) in precision agriculture (Dad) address a foundation for field planning, hardware direction, and variable rate innovation. In any case, late enhancements in GNSS parts (GPS, GLONASS, Galileo, and BeiDou) and novel remote detecting and PC handling based arrangements in Dad have not been completely dissected. GNSS advances, like GPS, GLONASS, Galileo, and BeiDou, have been broadly taken on in Dad applications around the world. GPS, starting from the US, has been used since its full functional ability was accomplished in 1995. The improvement can be traced back to the 1970s as a tactical endeavor. Endeavours ought to be made to further develop information assortment techniques, information combination, and information approval cycles to guarantee the accessibility of precise and great spatial information for Dad applications. Moreover, there is a requirement for easy to understand and interoperable Dad programming and equipment arrangements (Radočaj et al., 2023).

(iii) Global Positioning System (GPS). Observing and performing rural practices over an enormous spatial inclusion frequently require progressed and exact positional data to improve the functional expenses as well as diminish assessed season of finishing. Agricultural practices with enormous ranches are trying to work from remote detecting until exact positional data isn’t accessible, which requires the utilization of Global Positioning System (GPS) for gaining test position utilizing Global Navigation Satellite System (GNSSs). The fundamental finish of this part is to make mindful about the developing GPS applications and advancement of Brilliant cultivating, that is to say, carefully utilizing Web for accuracy applications (Pandey et al., 2021).

(iv) Laser Land Levelers. Land levelling technology is essential for land development and is a significant help for feasible farming turn of events. Current status of land-evening out executes, including dry-land and paddy-field evening out carries out. Second, two accuracy land-evening out innovations, laser-controlled frameworks and the Global Navigation Satellite System (GNSS), are surveyed. Laser-controlled innovation was first presented for farming creation in the US in the 1970s. It was in this way generally took on in many created nations, including the Unified Realm, Japan, and the Soviet Association, and created in emerging nations, like Southeast and East Asia, during the 1990 s (Kan et al., 2001). The genuine advantages of land-evening out innovation applied to the creation of various harvests are measurably investigated utilizing measurements including further developed land usage, water reserve funds, and expanded yields. This procedure is generally taken on in India, particularly in water-scant areas.

(v) Remote Sensing. Agriculture provides humans with food, fiber, fuel, and natural compounds required for human activity. Today, this work must be completed in a context of natural supportability and environmental change, along with an outstanding but growing human population, while maintaining the practicality of rural activities to provide both means and vocations. Remote detection has the potential to assist the varied evolution of agronomic methods in meeting this big challenge by providing redundant data on crop status throughout the season at various sizes and for diverse uses. It generally tended to from different perspectives, in some cases in view of explicit applications (for example, accuracy cultivating, yield forecast, water system, weed discovery), on unambiguous remote detecting (Weiss et al., 2020).

(vi) Variable Rate Technology (VRT). Consistent rate compost application across whole field can bring about finished or under joining of supplements. Variable rate technology (VRT) is an info application innovation that considers the utilization of contributions at a specific rate, time, and put in light of soil properties and spatial variety in the field or plants. There are two approaches for doing VRT: i) sensor-based and ii) map-based. The map-based technique employs lattice testing and soil inspection to create a solution map. The microprocessor determines the optimal application rate based on the dirt and yield circumstances. This article evaluates two VRT strategies for compost application in plantations and field crops. The application of this advanced invention absolutely improves compost use proficiency; further enhance agricultural production and benefit with less climate effects. (Pawase and Walunj 2023).

C. Agri-Tech Innovations Worldwide
(i) Vertical Farming. Kabir et al. (2023) Vertical cultivating innovation is encountering quick and various progressions including different degrees of harvest developing stages, is acquiring consideration for its capability to increment crop yield per unit area of land. The underlying period of indoor cultivating was principally focused on checking and controlling variables like lighting, supplements, temperature, and mugginess. In any case, late improvements have driven producers to embrace novel advancements for information assortment and examination, pointed toward streamlining crop yield. This pattern is especially encouraging for improving food manageability in metropolitan regions and presents amazing chances to decidedly affect the climate, society, and economy. Albeit vertical ranches have shown their true capacity for creating a wide cluster of yields, further exploration is fundamental to accomplish specialized and financial enhancement.

(ii) IoT and Smart Sensors in Smart Farming. Farming should defeat heightening issues to take care of a developing populace while saving the climate and normal assets. The cutting edge in IoT and sensor advances for agriculture is analyzed, alongside a portion of their likely purposes, including 1) water system checking frameworks, 2) compost organization, 3) crop sickness discovery, 4) observing (yield checking, quality checking, handling checking calculated monotoring), determining, and collecting, 5) environment conditions observing, and 6) fire recognition (Table 4). Moreover, this offers various sensors for farming that can recognize boundaries like soil NPK, dampness, nitrate, pH, electrical conductivity, CO2, temperature, stickiness, light, weather conditions station, water level, domesticated animals, plant illness, smoke, fire, adaptable wearable (Morchid et al., 2024).

Table 4: Agricultural Sensors and their Applications (Morchid et al., 2024).

Sensor Name Sensor Application
Soil NPK Sensor Fertilizer Administration
Temperature and Humidity Sensor Quality Monitoring, Irrigation Monitoring Systems
Livestock Sensor Logistics Monitoring
Smoke Sensor Fire Detection
Flame Sensor Fire Detection
Flexible Sensor Yield Monitoring

(iii) Big Data Analytics. Big data applications in farming are rapidly evolving as more expertise, apps, best practices, and computational capacity become available. actual answers to actual concerns are scarce. Massive information developments have accelerated as more expertise, calculations, best practices, and processing power become available (Oussous et al., 2018). A few new Big Data and man-made reasoning applications for the rural area have been fostered everywhere, nonetheless: the large information qualities actually present significant difficulties, in any event, when superb mechanical offices and backing are accessible. Big data arrangements don’t work out-of-the-container while changing application spaces, and extra innovation improvement is required for tending to the eccentricities of rural applications. The reception states of enormous scope, farming explicit huge information frameworks are arising, and frameworks thinking approach is expected to co-foster large information answers for tending to agricultural frameworks vulnerabilities and food security challenges (Osinga et al., 2022).

(iv) Machine Learning (ML). Recent advancements including the Web of Things, sensors, mechanical technology, Artificial Intelligence, Machine Learning, Big Data, and Cloud Computing are driving agriculture towards the transformative Agriculture 4.0 paradigm. Machine Learning (ML), as a subset of artificial intelligence, has shown significant potential for improving various elements of Farming 4.0.
A computer software or system that can learn specific tasks without explicit programming can be defined as such. Araújo et al. (2023) define interaction as the process of utilizing a personal computer to make decisions informed by various information inputs.

(v) Robotics. The steady advances in agricultural mechanical technology plan to defeat the difficulties forced by populace development, sped up urbanization, high seriousness of excellent items, ecological conservation and an absence of qualified work. In this the really existing uses of farming mechanical frameworks for the execution of land readiness prior to planting, planting, planting, plant treatment, gathering, yield assessment and phenotyping. As a rule, all robots were assessed by the accompanying measures: its headway framework, what is the last application, in the event that it has sensors, mechanical arm as well as PC vision calculation, what is its improvement stage and which nation and landmass they have a place. In the wake of assessing every comparable trademark, to uncover the exploration patterns, normal entanglements and the attributes that thwart business improvement, and find which nations are putting into Innovative work (Research and development) in these advances for the future, four significant regions that need future examination work for upgrading the cutting edge in savvy agribusiness were featured: velocity frameworks, sensors, PC vision calculations and correspondence advancements. The after effects of this exploration propose that the interest in agricultural mechanical frameworks permits to accomplish short — reap observing — and long haul goals — yield assessment (Oliveira et al., 2021).

(vi) Blockchain Technology. Blockchain innovation (BCT) to modify the farming business by giving a decentralized, straightforward, and unchangeable answer for meet the challenges it faces. BCT arises as a reasonable answer for address difficulties in the agricultural business, especially in the space of trust, viability, and recognizability, which have become more articulated because of late mechanical headways. BCT, as a protected and changeless information base utilizing cryptographic strategies, offers benefits like discernibility, unchanging nature, straightforwardness, and security. These properties are especially critical in the agricultural area, where trust and straightforwardness are fundamental for building a practical and secure food supply framework. The execution of BCT in farming can possibly advance certainty and straightforwardness all through the whole food store network. It can empower more productive observing and following of merchandise, limiting dangers related with food borne infections and food misrepresentation. The foundation of a framework for the exact following of the beginning, quality, and wellbeing of food things is urgent for customers, controllers, and industry partners, and BCT can give a more precise and solid answer for meet these necessities (Panwar et al., 2023).

CONCLUSIONS
Agri-bio innovations are transforming agriculture through the integration of sustainability and productivity. India’s grassroots initiatives, such as Pusa Decomposer Powder and laser leveling, have enhanced the capabilities of small farmers.
Technologies such as CRISPR and IoT are addressing significant agricultural challenges on a global scale. Policy Support: It is essential for governments to establish conducive policies that facilitate advancements in agri-bio innovations. Collaborative research fosters partnerships between Indian and global researchers, thereby accelerating innovation. Farmer Training: It is essential to ensure that farmers receive adequate training in the utilization of these technologies. Through the promotion of innovation, knowledge-sharing, and sustainability, agriculture can effectively address the increasing demands of humanity while ensuring the preservation of the planet.

FUTURE SCOPE
This study expands the understanding of biotechnology’s future in Indian agriculture by considering current research, strategic recommendations, and the potential for innovation to benefit smallholder farmers. The future of biotechnology in global agriculture is promising, with potential for significant advancement and dedication to the global economy. Plant biotechnology holds significant potential for enhancing agricultural productivity and well-being, addressing food security issues, and fulfilling global increasing need for food and nutrients. To address current issues and unlock the full potential of biotechnology in global agriculture, it is essential to integrate unique genetic resources, genomic modifications, and omics advancements, alongside the establishment of quantitative, objective, and automated screening methods. Biotechnology has profoundly influenced global agriculture through the application of genetically modified crops and advanced genetic control technologies. Tissue culture, an essential biotechnological technique, has significantly contributed to industry growth and market demands; nonetheless, its potential remains underutilized. Plant biotechnology has significantly contributed to enhancing crop health and yield, addressing the increasing demand for food and sustenance, especially in light of population growth. The agricultural biotechnology sector, especially regarding genetically modified crops, has experienced significant expansion, however it faces hurdles related to safety and environmental issues. Consequently, it is customary to recognize these challenges promptly. Borah underscores the significance of the Indian government’s involvement in the region’s development. McKinney examined the ethical, economic, and political dimensions of rural biotechnology, namely Bt cotton in Gujarat. It underscored the significance of natural resource management and economic advancements in global agriculture. These studies advocate for a significant governmental engagement in the fundamental reformation of biotechnology practices within global agriculture.

REFERENCES
Allouzi, M. M. A., Allouzi, S. M. A., Keng, Z. X., Supramaniam, C. V., Singh, A., & Chong, S. (2022). Liquid biofertilizers as a sustainable solution for agriculture. Heliyon, 8, e12609.
Arya, N., Saraswat, S., & Lal, S. P. (2024). Impact of font type on blink rates and reading errors: A comparative study of Times New Roman and Verdana in secondary school students. International Journal on Emerging Technologies, 15(2), 50–55.
Arya, N., Saraswat, S., & Lal, S. P. (2023). Understanding the assessment methods for readability and legibility in typography: A systematic review. Biological Forum – An International Journal, 15(6), 919–926.
Araújo, S. O., Peres, R. S., Ramalho, J. C., Lidon, F., & Barata, J. (2023). Machine learning applications in agriculture: Current trends, challenges, and future perspectives. Agronomy, 13(12), 2976.
Chand, R., & Singh, J. (2023). From green revolution to Amrit Kaal: Lessons and way forward for Indian agriculture. NITI Working Paper.
Chandra, R., & Collis, S. (2021). Digital agriculture for small-scale producers: Challenges and opportunities. Communications of the ACM, 64.
Chaudhary, P., Singh, S., Chaudhary, A., Sharma, A., & Kumar, G. (2022). Overview of biofertilizers in crop production and stress management for sustainable agriculture. Frontiers in Plant Science, 13, 930340.
Filipe, J., Śmiałek, M., Brodsky, A., & Hammoudi, S. (Eds.). (2020). Enterprise information systems: 21st international conference, ICEIS 2019, Heraklion, Crete, Greece, 3–5 May 2019, revised selected papers. Springer International Publishing.
Himesh, S., Prakasa Rao, E. V. S., Gouda, K. C., Ramesh, K. V., Rakesh, V., Mohapatra, G. N., Kantha Rao, B., Sahoo, S. K., & Ajilesh, P. (2018). Digital revolution and big data: A new revolution in agriculture. CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, 13, Article 13.021.
Kabir, M. S. N., Reza, M. N., Chowdhury, M., Ali, M., Samsuzzaman, Ali, M. R., Lee, K. Y., & Chung, S. O. (2023). Technological trends and engineering issues on vertical farms: A review. Horticulturae, 9(11), 1229.
Kan, S. K., Choi, W. J., & Nakamura, K. (2001). Laser leveling for paddy and dry land agriculture in East Asia. Precision Agriculture, 2(4), 245–254.
Kumar, A., Singh, A. K., Lal, S. P., Patel, D. K., and Prakash, S. (2022). An Exploratory Study on Pattern and Factors Influencing Out Migration among COVID-19 Returned Migrants in North Bihar. Biological Forum –An International Journal, 14(4a), 492-498.
Lal, S.P., Borah, A., & Das, D. (2023). Priorities and Precautions apropos Chat GPT in Academia with especial reference to Agricultural Education. International Journal of Theoretical & Applied Sciences, 15(1), 54-59.
Liu, Y., Ma, X., Shu, L., Hancke, G. P., & Abu-Mahfouz, A. M. (2021). From Industry 4.0 to Agriculture 4.0: Current status, enabling technologies, and research challenges. IEEE Transactions on Industrial Informatics, 17(6), 4322–4334.
Morchid, A., El Alami, R., Raezah, A. A., & Sabbar, Y. (2024). Applications of internet of things (IoT) and sensors technology to increase food security and agricultural sustainability: Benefits and challenges. Ain Shams Engineering Journal, 15(3), 102509. DOI: https://doi.org/10.1016/j.asej.2023.102509
National Human Genome Research Institute (NHGRI). (2019). What is genome editing? Retrieved from https://www.genome.gov/about-genomics/policy-issues/what-is-Genome-Editing
Nosheen, S., Ajmal, I., & Song, Y. (2021). Microbes as biofertilizers: A potential approach for sustainable crop production. Sustainability, 13, 1868.
Oliveira, L. F. P., Moreira, A. P., & Silva, M. F. (2021). Advances in agriculture robotics: A state-of-the-art review and challenges ahead. Robotics, 10(2), 52.
Osinga, S. A., Paudel, D., Mouzakitis, S. A., & Athanasiadis, I. N. (2022). Big data in agriculture: Between opportunity and solution. Agricultural Systems, 195, 103298.
Pandey, P. C., Tripathi, A. K., & Sharma, J. K. (2021). An evaluation of GPS opportunity in market for precision agriculture. In GPS and GNSS Technology in Geosciences (pp. 337–349). Elsevier.
Panwar, A., Khari, M., Misra, S., & Sugandh, U. (2023). Blockchain in agriculture to ensure trust, effectiveness, and traceability from farm fields to groceries. Future Internet, 15(12), 404.
Pawase, P., & Walunj, A. A. (2023). Variable rate fertilizer application technology for nutrient management: A review. International Journal of Agricultural and Biological Engineering, 16(4), 11–19.
Radočaj, D., Plaščak, I., & Jurišić, M. (2023). Global navigation satellite systems as state-of-the-art solutions in precision agriculture: A review of studies indexed in the Web of Science. Agriculture, 13(7), 1417.
Rejeb, A., Abdollahi, A., Rejeb, K., & Treiblmaier, H. (2022). Drones in agriculture: A review and bibliometric analysis. Computers and Electronics in Agriculture, 198, 107017.
Srivastava, R. K., & Lal, S. P. (2021). Relational analysis of food grains and its seed production in India: Current scenario and future prospects. Biological Forum – An International Journal, 13(2), 726-731.
Mah, A. & Robers, R. (2022). Genome editing techniques: The Tools That Enable Scientists to Alter the Genetic Code. Synthego. Redwood City, USA. Retrieved from https://www.synthego.com/blog/genome-editing-techniques
Trendov, N. M., Varas, S., & Zeng, M. (2019). Digital technologies in agriculture and rural areas.
Weiss, M., Jacob, F., & Duveiller, G. (2020). Remote sensing for agricultural applications: A meta-review. Remote Sensing of Environment, 236, 111402.
How to cite this article: Singh, Shreya and Lal, Sudhanand Prasad (2024). Agri-Bio Innovations Across the Globe: A Comprehensive Review. AgriBio Innovations, 1(1): 01-08.

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