The instant invention relates to methods for increasing or promoting microbial activity in soil selected for treatment.

Disclosed is a special soil conditioner for soda saline-alkaline paddy fields and a preparation method thereof, relating to the technical field of soil conditioner preparation. The raw materials of the soil conditioner include calcium chloride dihydrate, anionic polyacrylamide, mineral potassium fulvate, diethylaminoethyl (DA) polyamine, DA-7 or DA-8, brassinolide, potassium indolebutyrate, sodium α-naphthylacetate and powder anti-caking agent. The above components are mixed according to a specific weight ratio to obtain the special soil conditioner for soda saline-alkaline paddy fields.

The proposed solution refers to agricultural biotechnology and microbiology. It represents Bacillus mojavensis PS17 strain that was isolated from the seeds of the Sadokat variety of spring wheat and was deposited in the National Bioresource Center - Russian National Collection of Industrial Microorganisms (NBC VKPM), NRC “Kurchatov Institute” - GosNIIgenetika under registration number VKPM B-13415. The strain has a broad spectrum of activity against plant pathogenic fungi and improves the yield of agricultural crops. The strain is non-toxic to animals, exhibits growth-stimulating activity for plants and can be used to produce of biopreparations on the basis thereof for the protection of plants from diseases caused by fungal pathogens.

This disclosure concerns methods and compositions for identifying cotton plants that have a reniform nematode resistance trait. Some embodiments concern molecular markers to identify, select, and/or construct reniform nematode resistant plants and germplasm, or to identify and counter-select relatively susceptible plants. This disclosure also concerns cotton plants comprising a reniform nematode resistance trait that are generated by methods utilizing at least one marker described herein.

Embodiments for crop-specific automated irrigation of an environmental medium and management of nutrients therein. In one aspect, operation of an irrigation apparatus can be regulated according to specific water demand of a crop. The water demand can be assessed by evaluating water content conditions of the environmental medium comprising the crop, medium characteristics, and/or nutrient delivery and transport characteristics at the medium. Regulation of operation of the irrigation apparatus can comprise control of one or more of water supply to the apparatus, positioning and/or movement of the irrigation apparatus, or configuration of sensing devices for collection of information suitable for such regulation.

Methods, apparatuses and systems may provide for a neural network that analyzes and classifies agricultural conditions based on depth data and color data recorded by one or more drones, and generates an annotated three dimensional (3D) map with the agricultural conditions. Additionally, an object recognition model may be trained for use by a drone controller to trigger drones to conduct a collection of depth data at an increased proximity to crop-related objects based on agricultural conditions.

An irrigation modeling framework in precision agriculture utilizes a combination of weather data, crop data, and other agricultural inputs to create customized agronomic models for diagnosing and predicting a moisture state in a field, and a corresponding need for, and timing of, irrigation activities. Specific combinations of various agricultural inputs can be applied, together with weather information to identify or adjust water-related characteristics of crops and soils, to model optimal irrigation activities and provide advisories, recommendations, and scheduling guidance for targeted application of artificial precipitation to address specific moisture conditions in a soil system of a field.

Implementations relate to crop yield prediction at the field- and pixel-level. In various implementations, a first temporal sequence of high-elevation digital images may be obtained that capture a first geographic area and are acquired over a first predetermined time interval while the first geographic area includes a particular crop. A first plurality of other data points may also be obtained that influence a ground truth crop yield of the first geographic area after the first predetermined time interval. The first plurality of other data points may be grouped into temporal chunks corresponding temporally with respective images of the first temporal sequence. The first temporal sequence and the temporal chunks of the first plurality of other data points may be applied, e.g., iteratively, as input across a machine learning model to estimate a crop yield of the first geographic area at the end of the first predetermined time interval.

5-phenyl or 5-benzyl-2 isoxaline-3 carboxylates which are used for the treatment of crop plants for inducing specific growth regulating responses on the plants, on seeds from which they grow or on the locus in which they grown in their habitat.

Mint selection 13-A36-13, denominated ‘Klondike’ peppermint is a new Mentha sp. cultivar that produces a unique essential oil, improved yield of essential oil, and increased resistance to mint rust and wilt.