Site-specific Crop Nutrient Management for Precision Agriculture – A Review

Gorai, Tapan; Yadav, Pankaj Kumar; Choudhary, Gopal Lal; Kumar, Anil

doi:10.9734/cjast/2021/v40i1031357

Cited by 5 publications

(5 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By utilizing advanced technologies and tailoring nutrient application rates to the specific needs of the crop and field, farmers can achieve higher yields, reduce fertilizer costs, and minimize environmental impacts associated with nutrient losses. Implementing precision nutrient management practices can contribute to the long-term sustainability and profitability of maize production systems [20,49,50].…”

Section: Precision Nutrient Managementmentioning

confidence: 99%

“…In addition to N, P, and K, secondary nutrients (calcium, magnesium, and sulfur) and micronutrients (zinc, copper, iron, manganese, boron, and molybdenum) play vital roles in maize production. Soil amendments or foliar applications can be utilized to address deficiencies based on soil test results and crop nutrient requirements [49]. Employing appropriate fertilizer application methods such as broadcasting, banding, side-dressing, or foliar spraying ensures efficient nutrient uptake and minimizes losses [38].…”

Section: Best Practices For Nutrient Management In Maize Productionmentioning

confidence: 99%

See 1 more Smart Citation

Nutrient Management of Maize

Batool

2024

Agricultural Sciences

View full text Add to dashboard Cite

This chapter presents a comprehensive overview of nutrient management practices tailored for optimizing maize production. It covers critical aspects, including soil testing protocols, advanced fertilizer application methods, organic and inorganic amendments, precision nutrient management approaches, integrated strategies, and conservation agriculture-based practices. Recognizing maize’s significance for global food security and economic prosperity, the chapter emphasizes efficient and sustainable nutrient management to achieve high yields. Precision technologies enable targeted fertilizer applications, while organic and inorganic amendments enhance soil fertility and nutrient cycling. Integrated nutrient management reduces environmental risks and improves long-term soil fertility. Conservation agriculture-based practices, such as reduced tillage and cover cropping, positively influence maize yield and sustainability by enhancing nutrient retention and water management. Overall, adopting appropriate nutrient management practices is crucial for maximizing maize production while ensuring food security and environmental well-being.

show abstract

Section: Precision Nutrient Managementmentioning

confidence: 99%

Section: Best Practices For Nutrient Management In Maize Productionmentioning

confidence: 99%

Nutrient Management of Maize

Batool

2024

Agricultural Sciences

View full text Add to dashboard Cite

show abstract

“…Beneficial microorganisms, such as certain bacteria, can either fix atmospheric nitrogen or render soil phosphorus soluble reducing the dependency on chemical fertilizers and steering agriculture toward more sustainable pathways ( Tavarini et al., 2018 ; González-Guerrero et al., 2023 ). The combination of technology and biology is further evident in innovations such as in situ soil moisture sensors, 3D printed fertilizers tailored to specific crop needs, chlorophyll meters that gauge plant nitrogen levels, and decision support systems (DSS) that assimilate diverse data to guide fertilization decisions ( Ahmad and Dar, 2020 ; Hemming et al., 2020 ; Gorai et al., 2021 ). In summary, it is clear that the trajectory of precision fertilization has been marked by rapid advancements.…”

Section: Technological Innovations In Vegetable Cultivationmentioning

confidence: 99%

Advancing horizons in vegetable cultivation: a journey from ageold practices to high-tech greenhouse cultivation—a review

Ahmed,

Zhang,

Deng

et al. 2024

Front. Plant Sci.

View full text Add to dashboard Cite

Vegetable cultivation stands as a pivotal element in the agricultural transformation illustrating a complex interplay between technological advancements, evolving environmental perspectives, and the growing global demand for food. This comprehensive review delves into the broad spectrum of developments in modern vegetable cultivation practices. Rooted in historical traditions, our exploration commences with conventional cultivation methods and traces the progression toward contemporary practices emphasizing the critical shifts that have refined techniques and outcomes. A significant focus is placed on the evolution of seed selection and quality assessment methods underlining the growing importance of seed treatments in enhancing both germination and plant growth. Transitioning from seeds to the soil, we investigate the transformative journey from traditional soil-based cultivation to the adoption of soilless cultures and the utilization of sustainable substrates like biochar and coir. The review also examines modern environmental controls highlighting the use of advanced greenhouse technologies and artificial intelligence in optimizing plant growth conditions. We underscore the increasing sophistication in water management strategies from advanced irrigation systems to intelligent moisture sensing. Additionally, this paper discusses the intricate aspects of precision fertilization, integrated pest management, and the expanding influence of plant growth regulators in vegetable cultivation. A special segment is dedicated to technological innovations, such as the integration of drones, robots, and state-of-the-art digital monitoring systems, in the cultivation process. While acknowledging these advancements, the review also realistically addresses the challenges and economic considerations involved in adopting cutting-edge technologies. In summary, this review not only provides a comprehensive guide to the current state of vegetable cultivation but also serves as a forward-looking reference emphasizing the critical role of continuous research and the anticipation of future developments in this field.

show abstract

“…Firmansyah [40] propose an AI-based expert system for fertilizer recommendations in palm oil crops. Gorai T. [10]discusses the RS-based approaches for soil fertility assessment in terms of effectively utilizing fertilizers using different indices. Jayashree D. et al [41] propose a fertilizer and pesticide recommendation system based on the tree data structure.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The efficient application of fertilizers can save resources as well as prevents soil deterioration. The inadequate nutrient management raises many concerns regarding low productivity, and soil deterioration [10]. The efficient use of accurate fertilizer according to the context is the basic requirement for better crop yield, productivity, and sustainable soil quality.…”

Section: Introductionmentioning

confidence: 99%

Internet of Things (IoT) Assisted Context Aware Fertilizer Recommendation

et al. 2022

View full text Add to dashboard Cite

An accurate amount of fertilizer according to the real-time context is the basis of precision agriculture in terms of sustainability and profitability. Many fertilizers recommendation systems are proposed without considering the real-time context in terms of soil fertility level, crop type, and soil type. The major obstacle in developing the real-time context-aware fertilizer recommendation system is related to the complexity associated with the real-time mapping of soil fertility. Furthermore, the existing methods of determining the real-time soil fertility levels for the recommendation of fertilizer are costly, timeconsuming, and laborious. Therefore, to tackle this issue, we propose a machine learning-based fertilizer recommendation methodology according to the real-time soil fertility context captured through the Internet of Things (IoT) assisted soil fertility mapping to improve the accuracy of the fertilizer recommendation system. For real-time soil fertility mapping, an IoT architecture is also proposed to support context-aware fertilizer recommendations. The proposed solution is practically implemented in real crop fields to assess the accuracies of IoT-assisted fertility mapping. The accuracy of IoT-assisted fertility mapping is assessed by comparing the proposed solution with the standard soil chemical analysis method in terms of observing Nitrogen (N), Phosphorous (P), and Potassium (K). The results reveal that the observations by both methods are in line with a mean difference of 0.34, 0.36, and -0.13 for N, P, and K observations, respectively. The context-aware fertilizer recommendation is implemented with the Logistic Regression (LR), Support Vector Machine (SVM), Gaussian Naïve Bayes (GNB), and K-Nearest Neighbor (KNN) machine learning models to assess the performance of these machine learning models. The evaluation of the proposed solution reveals that the GNB model is more accurate as compared to the machine learning models evaluated, with accuracies of 96% and 94% from training and testing datasets, respectively.INDEX TERMS Internet of Things (IoT), machine learning, soil fertility mapping, fertilizer recommendation, support vector machine (SVM), Gaussian Naïve Bayes (GNB), logistic regression (LR), k-nearest neighbor (KNN).

show abstract

Site-specific Crop Nutrient Management for Precision Agriculture – A Review

Cited by 5 publications

References 68 publications

Nutrient Management of Maize

Nutrient Management of Maize

Advancing horizons in vegetable cultivation: a journey from ageold practices to high-tech greenhouse cultivation—a review

Internet of Things (IoT) Assisted Context Aware Fertilizer Recommendation

Contact Info

Product

Resources

About