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Digital Agriculture A Solution for Sustainable Food and Nutritional Security
The world population is increasing while arable land is decreasing at an alarming rate. About one-quarter of arable land is degraded and needs...
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Who is responsible for ‘responsible AI’?: Navigating challenges to build trust in AI agriculture and food system technology
This article presents findings from interviews that were conducted with agriculture and food system researchers to understand their views about what...
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Artificial Intelligence, Machine Learning and IOT in Pest Management
Artificial intelligence (AI), machine learning and computer applications provide accuracy in recognising insect and in classifying them. Experimental...
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Smart Big Data in Digital Agriculture Applications Acquisition, Advanced Analytics, and Plant Physiology-informed Artificial Intelligence
In the dynamic realm of digital agriculture, the integration of big data acquisition platforms has sparked both curiosity and enthusiasm among...
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Use of AI for Disaster Risk Reduction in Agriculture
Agriculture, being significantly related to and dependent on natural factors, is most vulnerable to abnormal behaviors of nature. The trends,...
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Implementations and Rationale for Blockchain Technique in Agriculture
The blockchain is a shared ledger where all members can write and maintain records as well as transactions. It claims to be a dependable new resource...
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Satellite Imagery in Precision Agriculture
Many national and international institutions recognize that novel agriculture paradigms are needed to address the current challenges of adaptation to...
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Artificial Intelligence and the Weaponization of Genetic Data
Advancements in genetics have the ability to rapidly improve medicine, with a number of factors converging to push the integration of genomics into...
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Identification of nutrient deficiency in plants by artificial intelligence
The deficiency of macro (N, P, S, Ca, Mg and K) and micro (Zn, Cu, B, Mo, Cl, Mn and Fe) minerals has a major effect on plant development. The lack...
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Precision Agriculture in Rice Farming
Japanese agriculture has reached a significant turning point due to factors such as a considerable decline in the number of farmers because of aging....
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Environmental Conservation for Sustainable Agriculture
Sustainable agriculture is an effective approach towards environmental conservation. While agriculture provides food and livelihood for millions of...
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Twenty-two years of precision agriculture: a bibliometric review
Precision Agriculture is a leading international journal on advances in precision farming. Established in 1999, it focuses on natural resource...
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UAV Applications in Agriculture
Unmanned Aerial Vehicle (UAV) technology was initially developed for agricultural crop dusting in the 1980s in Japan. Since then, UAVs have been...
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Exploring 20-year applications of geostatistics in precision agriculture in Brazil: what’s next?
In the last decades, geostatistics has been widely used for precision agriculture (PA) producing quite exciting results. Research on this topic is...
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IoT and AI in Agriculture Self- sufficiency in Food Production to Achieve Society 5.0 and SDG's Globally
This book reviews recent innovations in the smart agriculture space that use the Internet of Things (IoT) and sensing to deliver Artificial...
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Forecasting seasonal plot-specific crop coefficient (Kc) protocol for processing tomato using remote sensing, meteorology, and artificial intelligence
The crop coefficient (Kc) is a key parameter in irrigation scheduling decision-making and depends on local conditions, e.g., crop type, weather, and...
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Artificial intelligence in tomato leaf disease detection: a comprehensive review and discussion
Accurate and fast tomato plant disease identification is significant to enhance its sustainable agricultural productivity. In the conventional...
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Deep-learning-based counting methods, datasets, and applications in agriculture: a review
The number of objects is considered an important factor in a variety of tasks in the agricultural domain. Automated counting can improve farmers’...
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